O6原始urdf

.gitignore

@@ -69,6 +69,8 @@ Thumbs.db
 *_mapping_quality.json
 
 # Device-specific robot descriptions derived from local calibration runs
+# Includes both full and partial timestamped zero-calibration outputs.
+/src/linkerhand_calibration/urdf/*/*_zero_calibrated_*.urdf
 /src/linkerhand_retarget/linkerhand_retarget/assets/robots/hands/linker_hand/g20_left/linkerhand_g20_left_cmc_pitch_*.urdf
 /src/linkerhand_retarget/linkerhand_retarget/assets/robots/hands/linker_hand/g20_left/linkerhand_g20_left_calibrated_*.urdf
 /src/linkerhand_retarget/linkerhand_retarget/assets/robots/hands/linker_hand/g20_left/linkerhand_g20_left_zero_calibrated_*.urdf

src/g20_thumb_apriltag_calibration/g20_thumb_apriltag_calibration/__init__.py

@@ -1,5 +0,0 @@
-"""Front-camera AprilTag calibration for the left LinkerHand G20 thumb."""
-
-from .core import BASELINE_COMMAND, COMMAND_NAMES
-
-__all__ = ["BASELINE_COMMAND", "COMMAND_NAMES"]

src/g20_thumb_apriltag_calibration/setup.cfg

@@ -1,4 +0,0 @@
-[develop]
-script_dir=$base/lib/g20_thumb_apriltag_calibration
-[install]
-install_scripts=$base/lib/g20_thumb_apriltag_calibration

src/gui_control/gui_control/config/constants.py

@@ -230,7 +230,7 @@ _HAND_CONFIGS: Dict[str, HandConfig] = {
         }
     ),
     "L6": HandConfig(
-        joint_names_en=["thumb_cmc_pitch", "thumb_cmc_yaw", "index_mcp_pitch", "middle_mcp_pitch", "pinky_mcp_pitch", "ring_mcp_pitch"],
+        joint_names_en=["thumb_cmc_pitch", "thumb_cmc_roll", "index_mcp_pitch", "middle_mcp_pitch", "ring_mcp_pitch", "pinky_mcp_pitch"],
         joint_names=["大拇指弯曲", "大拇指横摆", "食指弯曲", "中指弯曲", "无名指弯曲", "小拇指弯曲"],
         init_pos=[250] * 6,
         preset_actions={

src/gui_control/gui_control/gui_control.py

@@ -33,6 +33,10 @@ _CANONICAL_COMMAND_NAMES = {
         "thumb_cmc_pitch", "thumb_cmc_yaw", "index_mcp_pitch",
         "middle_mcp_pitch", "ring_mcp_pitch", "pinky_mcp_pitch",
     ],
+    "L6": [
+        "thumb_cmc_pitch", "thumb_cmc_roll", "index_mcp_pitch",
+        "middle_mcp_pitch", "ring_mcp_pitch", "pinky_mcp_pitch",
+    ],
 }
 
 _CANONICAL_COMMAND_BOUNDS = {
@@ -43,6 +47,7 @@ _CANONICAL_COMMAND_BOUNDS = {
         *[(0, 255)] * 5,
     ],
     "O6": [(0, 255)] * 6,
+    "L6": [(0, 255)] * 6,
 }
 
 

src/gui_control/test/test_l6_config.py

@@ -0,0 +1,12 @@
+from gui_control.config.constants import HAND_CONFIGS
+
+
+def test_l6_gui_uses_the_sdk_channel_order() -> None:
+    assert HAND_CONFIGS["L6"].joint_names_en == [
+        "thumb_cmc_pitch",
+        "thumb_cmc_roll",
+        "index_mcp_pitch",
+        "middle_mcp_pitch",
+        "ring_mcp_pitch",
+        "pinky_mcp_pitch",
+    ]

src/linker_hand_ros2_sdk/linker_hand_ros2_sdk/LinkerHand/core/can/linker_hand_l6_can.py

@@ -1,3 +1,5 @@
+from collections import deque
+
 import can
 import time, sys
 import threading
@@ -57,6 +59,14 @@ class LinkerHandL6Can:
         self.normal_force, self.tangential_force, self.tangential_force_dir, self.approach_inc = [[-1] * 6 for _ in range(4)]
         self.is_lock = False
         self.version = None
+        # L6 replies to a six-byte 0x01 position command with an immediate
+        # byte-for-byte echo on the same CAN ID. A zero-payload 0x01 state
+        # query also replies on that ID, but with the measured positions.
+        # Keep the two transactions distinct so command echoes never enter
+        # the published feedback stream used by calibration.
+        self._position_echo_lock = threading.Lock()
+        self._pending_position_echoes = deque(maxlen=32)
+        self._position_echo_timeout_seconds = 0.02
         # Start the receiving thread
         self.running = True
         self.receive_thread = threading.Thread(target=self.receive_response)
@@ -111,6 +121,11 @@ class LinkerHandL6Can:
         frame_property_value = int(frame_property.value) if hasattr(frame_property, 'value') else frame_property
         data = [frame_property_value] + [int(val) for val in data_list]
         msg = can.Message(arbitration_id=self.can_id, data=data, is_extended_id=False)
+        if frame_property_value == 0x01 and len(data_list) == 6:
+            with self._position_echo_lock:
+                self._pending_position_echoes.append(
+                    (time.monotonic(), tuple(int(value) for value in data_list))
+                )
         try:
             self.bus.send(msg)
         except can.CanError as e:
@@ -201,7 +216,23 @@ class LinkerHandL6Can:
             except:
                 return
             if frame_type == 0x01:   # 0x01
-                self.x01 = list(response_data)
+                response = tuple(int(value) for value in response_data)
+                now = time.monotonic()
+                is_position_echo = False
+                with self._position_echo_lock:
+                    while (
+                        self._pending_position_echoes
+                        and now - self._pending_position_echoes[0][0]
+                        > self._position_echo_timeout_seconds
+                    ):
+                        self._pending_position_echoes.popleft()
+                    for pending in tuple(self._pending_position_echoes):
+                        if pending[1] == response:
+                            self._pending_position_echoes.remove(pending)
+                            is_position_echo = True
+                            break
+                if not is_position_echo:
+                    self.x01 = list(response)
             elif frame_type == 0x02:    # 0x02
                 self.x02 = list(response_data)
             elif frame_type == 0x05: # Set speed
@@ -391,7 +422,10 @@ class LinkerHandL6Can:
         return self.x35
     
     def get_finger_order(self):
-        return ["thumb_cmc_pitch", "thumb_cmc_yaw", "index_mcp_pitch", "middle_mcp_pitch", "ring_mcp_pitch", "pinky_mcp_pitch"]
+        # L6 channel 1 is the physical CMC roll actuator.  Older SDK releases
+        # exposed the channel as ``thumb_cmc_yaw`` even though the wire order
+        # and mechanism have always been roll.
+        return ["thumb_cmc_pitch", "thumb_cmc_roll", "index_mcp_pitch", "middle_mcp_pitch", "ring_mcp_pitch", "pinky_mcp_pitch"]
 
     def show_fun_table(self):
         pass

src/linker_hand_ros2_sdk/linker_hand_ros2_sdk/LinkerHand/core/rs485/linker_hand_l6_rs485.py

@@ -372,7 +372,7 @@ class LinkerHandL6RS485:
         return [0] * 6
 
     def get_finger_order(self):
-        return ["thumb_cmc_pitch", "thumb_cmc_yaw", "index_mcp_pitch", "middle_mcp_pitch", "ring_mcp_pitch", "pinky_mcp_pitch"]
+        return ["thumb_cmc_pitch", "thumb_cmc_roll", "index_mcp_pitch", "middle_mcp_pitch", "ring_mcp_pitch", "pinky_mcp_pitch"]
 
     # --------------------------------------------------
     # 便捷方法

src/linker_hand_ros2_sdk/test/test_l6_channel_order.py

@@ -0,0 +1,72 @@
+import ast
+from collections import deque
+from pathlib import Path
+import sys
+import threading
+import time
+from types import SimpleNamespace
+
+
+PACKAGE = Path(__file__).resolve().parents[1] / "linker_hand_ros2_sdk/LinkerHand/core"
+EXPECTED = [
+    "thumb_cmc_pitch",
+    "thumb_cmc_roll",
+    "index_mcp_pitch",
+    "middle_mcp_pitch",
+    "ring_mcp_pitch",
+    "pinky_mcp_pitch",
+]
+
+
+def _finger_order(path: Path, class_name: str) -> list[str]:
+    module = ast.parse(path.read_text(encoding="utf-8"))
+    selected = next(
+        item
+        for item in module.body
+        if isinstance(item, ast.ClassDef) and item.name == class_name
+    )
+    method = next(
+        item
+        for item in selected.body
+        if isinstance(item, ast.FunctionDef) and item.name == "get_finger_order"
+    )
+    returned = next(item for item in method.body if isinstance(item, ast.Return))
+    return ast.literal_eval(returned.value)
+
+
+def test_l6_can_and_rs485_publish_the_same_physical_channel_order() -> None:
+    assert _finger_order(PACKAGE / "can/linker_hand_l6_can.py", "LinkerHandL6Can") == EXPECTED
+    assert _finger_order(
+        PACKAGE / "rs485/linker_hand_l6_rs485.py", "LinkerHandL6RS485"
+    ) == EXPECTED
+
+
+def test_l6_can_position_echo_does_not_replace_measured_feedback() -> None:
+    linker_hand_root = PACKAGE.parent
+    sys.path.insert(0, str(linker_hand_root))
+    try:
+        from core.can.linker_hand_l6_can import LinkerHandL6Can
+    finally:
+        sys.path.remove(str(linker_hand_root))
+
+    hand = LinkerHandL6Can.__new__(LinkerHandL6Can)
+    hand.can_id = 0x27
+    hand.x01 = [10, 20, 30, 40, 50, 60]
+    hand._position_echo_lock = threading.Lock()
+    command = (255, 2, 253, 253, 253, 253)
+    hand._pending_position_echoes = deque(
+        [(time.monotonic(), command)], maxlen=32
+    )
+    hand._position_echo_timeout_seconds = 0.02
+
+    hand.process_response(
+        SimpleNamespace(arbitration_id=0x27, data=bytes((0x01, *command)))
+    )
+    assert hand.x01 == [10, 20, 30, 40, 50, 60]
+    assert not hand._pending_position_echoes
+
+    measured = (250, 3, 252, 252, 252, 252)
+    hand.process_response(
+        SimpleNamespace(arbitration_id=0x27, data=bytes((0x01, *measured)))
+    )
+    assert hand.x01 == list(measured)

src/linkerhand_calibration/README.md

@@ -1,17 +1,127 @@
-# G20 左右手 AprilTag 标定
+# LinkerHand 专业标定包
+
+## L6 右手局部标定（l6_right_8/v1）
+
+本版只发布 `rh_thumb_cmc_pitch`、`rh_thumb_cmc_roll`、
+`rh_pinky_mcp_pitch` 的静态零位与动态曲线，以及 `rh_thumb_dip`、
+`rh_pinky_dip` 的视觉动态曲线。拇指 DIP 通过线性 mimic；小指 DIP 使用实测
+双方向运行曲线和 MuJoCo 二次 equality，因为它的传动比会随屈曲角变化。生成的
+修正 URDF 保留 `rh_pinky_dip` 的 `<mimic>`，因此在普通 URDF/RViz 中仍会跟随
+MCP 运动；该线性回退精确对齐实测零位和闭合端点。中间行程的准确非线性轨迹由
+MuJoCo equality 或下述标定桥提供。根据 L6 四指同机构的实机确认，食指、中指、
+无名指的 MCP 零偏、行程、双向反馈曲线及 DIP 耦合从小指迁移；每指自己的
+`origin.xyz`、axis、mesh 和惯量保持 CAD，不把迁移结果标成 Tag 实测。四指 MCP
+以反馈 255 的展开端作为 CAD lower/zero 锚点；实测行程不会再被强制压回较短的
+CAD upper，因此不会向四指 origin 写入系统性的负零偏。
+结果指针为 `latest_partial_passed`，不会被当作六路主动关节的完整标定。
+
+拇指 pitch/roll 根据两组已记录六路反馈值的实机/仿真姿态对比，以反馈 255
+保持源 CAD joint zero，不叠加端点推断的静态偏置；小指及三指迁移仍以反馈 0
+机械闭合姿态对齐源 CAD upper。该策略只改变坐标锚点，不改变视觉实测的双方向
+行程曲线。现场姿态对比必须同时记录对应的六路反馈值。
+
+先启动 SDK 和 GUI 做手动检查时使用：
+
+```bash
+ros2 run linker_hand_ros2_sdk linker_hand_sdk --ros-args \
+  -p hand_type:=right -p hand_joint:=L6 -p can:=can0 -p topic_prefix:=/l6
+
+ros2 run gui_control gui_control
+```
+
+正式一键标定由 runner 自己启动 SDK、三相机、AprilTag 和标定节点，不要同时
+运行上面的 SDK/GUI 控制命令：
+
+```bash
+ros2 run linkerhand_calibration calibrate_hand --config \
+  src/linkerhand_calibration/config/l6_right_product.yaml
+```
+
+只检查 Profile、8 张 16 mm Tag、相机/外参哈希和只读源 URDF：
+
+```bash
+ros2 run linkerhand_calibration calibrate_hand --config \
+  src/linkerhand_calibration/config/l6_right_product.yaml --validate-only
+```
+
+离线回放与在线发布使用同一拟合/URDF写回路径：
+
+```bash
+ros2 run linkerhand_calibration calibrate_hand --config \
+  src/linkerhand_calibration/config/l6_right_product.yaml \
+  --offline-raw calibration_output/L6_RIGHT_001/<时间戳>/raw_samples.jsonl
+```
+
+运行前将产品 YAML 中的 `serial_number` 改成实物串号。通道顺序固定为 pitch、
+roll、index、middle、ring、pinky；旧 SDK 反馈中的 `thumb_cmc_yaw` 仅作为第二路
+兼容别名读取，新产物和运行桥始终输出 `thumb_cmc_roll` / `rh_*` URDF 名。
+预检和正式扫描均使用 L6 硬件速度 `1` 作为上限，并由 100 Hz 余弦缓入缓出
+轨迹把完整 `255↔0` 行程固定为 `6 s`；短行程按距离同比缩短。SDK 会过滤 L6
+在同一 CAN ID 回送的位置命令回显，标定只使用状态查询返回的真实反馈。标定
+启动时还会检查重复 SDK/GUI 发布者，避免两个进程同时访问同一只手。
+
+标定完成后，用生成的 JSON 将六路硬件反馈转换成包括小指 DIP 在内的 11 关节
+`JointState`：
+
+```bash
+ros2 launch linkerhand_calibration calibrated_joint_state_bridge.launch.py \
+  hand_type:=right \
+  calibration_file:=$PWD/calibration_output/L6_RIGHT_001/latest_partial_passed/l6_right_L6_RIGHT_001_partial_calibration.json
+```
+
+schema v6 默认订阅 `/l6/cb_right_hand_state`，发布
+`/sim/mujoco/l6/right/joint_state`。标准 URDF 的 `<mimic>` 本身只支持线性关系，
+所以只查看 URDF 时小指 DIP 中间行程是端点对齐的近似；需要实测轨迹时使用该桥
+或修正 URDF 内的 MuJoCo equality。
 
 ## G20右手正式一键标定
 
 固定三相机和19张Tag安装完成后，用户只运行：
 
 ```bash
-ros2 run g20_thumb_apriltag_calibration calibrate_g20_right
+ros2 run linkerhand_calibration calibrate_hand
 ```
 
+旧 executable `calibrate_g20_right` 在本发行版内保留为同一入口的别名；
+旧 ROS 包名前缀不再提供。新脚本和部署配置统一使用 `calibrate_hand`。
+
+构建和正式调用统一为：
+
+```bash
+colcon build --packages-select linkerhand_calibration
+ros2 run linkerhand_calibration calibrate_hand --config <产品配置.yaml>
+```
+
+## 代码边界
+
+- `core/`：无 ROS、无具体型号，包含领域类型、PnP/旋转数学、拟合接口、统一样本
+  契约、`TaskEvaluator/SessionSolver` 协议和 `UrdfCorrectionPlan`。
+- `runtime/`：通用会话状态机与注册 Profile 分发；ROS 消息和硬件适配只能位于
+  `runtime/nodes`、`runtime/adapters`。
+- `models/g20/`：G20 right-19、legacy-11、运动、零位、产物和中文诊断策略。
+  后续型号或左右手作为新的独立 Profile 加入 `models/`，不在通用层增加分支。
+- `compat/`：v1 配置、旧路径、旧会话与旧单相机逻辑。旧 Python 包名仅保留
+  一版最小转发 shim，不包含算法副本。
+
+产品配置在启动硬件前通过本地 `ProfileRegistry` 完成命令索引、任务、视角、
+Tag、零位目标、URDF关节和文件哈希校验。v1 配置原文不改；v2 配置使用
+`profile_id: MODEL/side/layout/vREVISION`。视角名和数量由 Profile 声明，通用层
+不要求 `front/side/top`，也不假设固定 20 个命令。
+
+仓库中存在已审定硬件会话时，可执行只读金标准检查（不会覆盖任何产物）：
+
+```bash
+ros2 run linkerhand_calibration validate_g20_goldens \
+  calibration_output/G20_RIGHT_001
+```
+
+它严格核对完整整手、合并拇指、独立拇指、拟合失败和零位失败五个会话；完整
+整手还会重新离线求解并要求 JSON、URDF 的 SHA-256 与正式产物一致。
+
 完全独立地只标定大拇指4项任务时，使用：
 
 ```bash
-ros2 run g20_thumb_apriltag_calibration calibrate_g20_right \
+ros2 run linkerhand_calibration calibrate_hand \
   --scope thumb
 ```
 
@@ -23,7 +133,7 @@ ros2 run g20_thumb_apriltag_calibration calibrate_g20_right \
 如果确实需要把新的拇指结果合并到一份已经通过的完整整手标定，才额外使用：
 
 ```bash
-ros2 run g20_thumb_apriltag_calibration calibrate_g20_right \
+ros2 run linkerhand_calibration calibrate_hand \
   --scope thumb \
   --base-session calibration_output/G20_RIGHT_001/latest_passed
 ```
@@ -35,7 +145,7 @@ ros2 run g20_thumb_apriltag_calibration calibrate_g20_right \
 只重新采集12项四指任务并合成完整整手URDF：
 
 ```bash
-ros2 run g20_thumb_apriltag_calibration calibrate_g20_right \
+ros2 run linkerhand_calibration calibrate_hand \
   --scope fingers \
   --base-session calibration_output/G20_RIGHT_001/<已通过的拇指会话时间戳>
 ```
@@ -114,7 +224,7 @@ schema v4 JSON，不再生成schema v5运行文件。
 `tag_layout:=legacy_11`，两套配置和结果schema互不覆盖：
 
 ```bash
-ros2 launch g20_thumb_apriltag_calibration three_camera_calibration.launch.py \
+ros2 launch linkerhand_calibration three_camera_calibration.launch.py \
   hand_type:=right \
   tag_layout:=g20_right_19 \
   serial_number:=G20_RIGHT_001 \
@@ -271,7 +381,7 @@ ID 9 必须在拇指横摆的完整行程中持续可见。
 
 ```bash
 mkdir -p /home/lxp/projects/linkerhand_retarget_ros2/config
-ros2 launch g20_thumb_apriltag_calibration \
+ros2 launch linkerhand_calibration \
   three_camera_extrinsics.launch.py \
   output_file:=/home/lxp/projects/linkerhand_retarget_ros2/config/g20_three_camera_extrinsics.yaml \
   checkerboard_columns:=8 checkerboard_rows:=5 square_size_m:=0.027
@@ -312,12 +422,11 @@ ros2 service call /g20_camera_extrinsics/save std_srvs/srv/Trigger {}
 先使用禁止运动模式检查三个机位、外参、内参和标签：
 
 ```bash
-ros2 launch g20_thumb_apriltag_calibration \
+ros2 launch linkerhand_calibration \
   three_camera_calibration.launch.py \
   hand_type:=left \
   serial_number:=G20_LEFT_001 \
   camera_extrinsics_file:=/home/lxp/projects/linkerhand_retarget_ros2/config/g20_three_camera_extrinsics.yaml \
-  source_urdf_path:=/home/lxp/projects/linkerhand_retarget_ros2/src/linkerhand_retarget/linkerhand_retarget/assets/robots/hands/linker_hand/g20_left/linkerhand_g20_left.urdf \
   commands_enabled:=false
 ```
 
@@ -335,19 +444,20 @@ ros2 run image_view image_view --ros-args \
 确认全行程安全、MVS客户端已关闭且没有其他命令发布者后，重启正式流程：
 
 ```bash
-ros2 launch g20_thumb_apriltag_calibration \
+ros2 launch linkerhand_calibration \
   three_camera_calibration.launch.py \
   hand_type:=left \
   serial_number:=G20_LEFT_001 \
   camera_extrinsics_file:=/home/lxp/projects/linkerhand_retarget_ros2/config/g20_three_camera_extrinsics.yaml \
-  source_urdf_path:=/home/lxp/projects/linkerhand_retarget_ros2/src/linkerhand_retarget/linkerhand_retarget/assets/robots/hands/linker_hand/g20_left/linkerhand_g20_left.urdf \
   can_interface:=can0
 ```
 
-右手使用同一入口；默认自动选择右手SDK话题和原始URDF：
+原始URDF及其mesh随`linkerhand_calibration`安装，默认根据`hand_type`自动选择。
+如需调试其他CAD版本，仍可通过`source_urdf_path:=<绝对路径>`显式覆盖。
+右手使用同一入口，并自动选择右手SDK话题和原始URDF：
 
 ```bash
-ros2 launch g20_thumb_apriltag_calibration \
+ros2 launch linkerhand_calibration \
   three_camera_calibration.launch.py \
   hand_type:=right \
   serial_number:=G20_RIGHT_001 \
@@ -526,7 +636,7 @@ calibration_output/G20_RIGHT_001/<时间戳>/
 命令。`--output-tag` 为新产物增加安全后缀，已有JSON、URDF和验证报告不会被覆盖：
 
 ```bash
-python3 -m g20_thumb_apriltag_calibration.offline_replay \
+python3 -m linkerhand_calibration.offline_replay \
   calibration_output/G20_RIGHT_001/20260811_120146 \
   --output-tag AXIS_FRAME_V3 \
   --write
@@ -543,7 +653,7 @@ python3 -m g20_thumb_apriltag_calibration.offline_replay \
 `JointState`（包括5个被动关节）：
 
 ```bash
-ros2 launch g20_thumb_apriltag_calibration calibrated_joint_state_bridge.launch.py \
+ros2 launch linkerhand_calibration calibrated_joint_state_bridge.launch.py \
   hand_type:=right \
   calibration_file:=$PWD/calibration_output/G20_RIGHT_001/20260811_120146/g20_right_G20_RIGHT_001_calibration.json
 ```
@@ -615,7 +725,7 @@ sudo apt-get install -y \
 cd /home/lxp/projects/linkerhand_retarget_ros2
 source /opt/ros/jazzy/setup.bash
 colcon build --symlink-install \
-  --packages-select linker_hand_ros2_sdk g20_thumb_apriltag_calibration
+  --packages-select linker_hand_ros2_sdk linkerhand_calibration
 source install/setup.bash
 ```
 
@@ -642,7 +752,7 @@ source install/setup.bash
 先单独启动相机（不会连接机械手，也不会发送关节命令）：
 
 ```bash
-ros2 run g20_thumb_apriltag_calibration hikrobot_camera_node --ros-args \
+ros2 run linkerhand_calibration hikrobot_camera_node --ros-args \
   --remap __ns:=/camera/camera/color \
   -p serial_number:=DB2163742 \
   -p camera_info_url:=$HOME/.ros/camera_info/hikrobot_DB2163742.yaml
@@ -680,7 +790,7 @@ ros2 run camera_calibration cameracalibrator \
 但标定节点不会发送位置运动命令，也不会允许解锁全行程扫描：
 
 ```bash
-ros2 launch g20_thumb_apriltag_calibration front_thumb_calibration.launch.py \
+ros2 launch linkerhand_calibration front_thumb_calibration.launch.py \
   serial_number:=G20_LEFT_001 \
   camera_serial_number:=DB2163742 \
   commands_enabled:=false
@@ -691,7 +801,7 @@ ros2 launch g20_thumb_apriltag_calibration front_thumb_calibration.launch.py \
 速度，并使用单终点连续运动：
 
 ```bash
-ros2 launch g20_thumb_apriltag_calibration front_thumb_calibration.launch.py \
+ros2 launch linkerhand_calibration front_thumb_calibration.launch.py \
   serial_number:=G20_LEFT_001 \
   camera_serial_number:=DB2163742 \
   can_interface:=can0 \
@@ -804,7 +914,7 @@ calibration_output/<序列号>/<时间戳>/
 恢复时必须显式复用原目录，否则会创建新会话：
 
 ```bash
-ros2 launch g20_thumb_apriltag_calibration front_thumb_calibration.launch.py \
+ros2 launch linkerhand_calibration front_thumb_calibration.launch.py \
   serial_number:=G20_LEFT_001 \
   session_dir:=/绝对路径/calibration_output/G20_LEFT_001/20260727_120000
 ```
@@ -884,7 +994,7 @@ for name, joint in data["joints"].items():
 URDF：
 
 ```bash
-ros2 launch g20_thumb_apriltag_calibration \
+ros2 launch linkerhand_calibration \
   front_cmc_pitch_zero.launch.py \
   serial_number:=G20_LEFT_001
 ```
@@ -961,7 +1071,7 @@ zero_angles.table_projected_zero_rad
 Roll同样固定使用“T3中心→拟合圆心”的内向径向矢量，不读取T3标签朝向。
 
 ```bash
-ros2 launch g20_thumb_apriltag_calibration \
+ros2 launch linkerhand_calibration \
   front_cmc_roll_calibration.launch.py \
   serial_number:=G20_LEFT_001
 ```

src/linkerhand_calibration/config/g20_right_product.yaml

@@ -21,7 +21,7 @@ cameras:
     camera_info: ~/.ros/camera_info/hikrobot_DB2163739.yaml
 
 artifacts:
-  source_urdf: src/linkerhand_retarget/linkerhand_retarget/assets/robots/hands/linker_hand/g20_right/linkerhand_g20_right.urdf
+  source_urdf: package://linkerhand_calibration/urdf/g20_right/linkerhand_g20_right.urdf
   source_urdf_sha256: eeb6ffb0e95d2a6acd4c26331ae68062e0d74160de4b552b4f6d395cce5ca4e8
   camera_extrinsics: config/g20_three_camera_extrinsics.yaml
   camera_extrinsics_sha256: dd623572df3cb83fdefcbe92204dab54a60f2c68eb3a8c9bdb08407e8f0e5d80

src/linkerhand_calibration/config/l6_right_8_tags.yaml

@@ -0,0 +1,59 @@
+/l6_calibration/front/apriltag/apriltag:
+  ros__parameters:
+    image_transport: raw
+    qos_profile: sensor_data
+    family: 36h11
+    size: 0.016
+    max_hamming: 0
+    detector:
+      threads: 4
+      decimate: 1.0
+      blur: 0.0
+      refine: true
+      sharpening: 0.25
+      debug: false
+    pose_estimation_method: pnp
+    tag:
+      ids: [0, 1, 2]
+      frames: [front_base, thumb_pitch, thumb_dip]
+      sizes: [0.016, 0.016, 0.016]
+
+/l6_calibration/side/apriltag/apriltag:
+  ros__parameters:
+    image_transport: raw
+    qos_profile: sensor_data
+    family: 36h11
+    size: 0.016
+    max_hamming: 0
+    detector:
+      threads: 4
+      decimate: 1.0
+      blur: 0.0
+      refine: true
+      sharpening: 0.25
+      debug: false
+    pose_estimation_method: pnp
+    tag:
+      ids: [3, 4, 5]
+      frames: [side_base, pinky_pitch, pinky_dip]
+      sizes: [0.016, 0.016, 0.016]
+
+/l6_calibration/top/apriltag/apriltag:
+  ros__parameters:
+    image_transport: raw
+    qos_profile: sensor_data
+    family: 36h11
+    size: 0.016
+    max_hamming: 0
+    detector:
+      threads: 4
+      decimate: 1.0
+      blur: 0.0
+      refine: true
+      sharpening: 0.25
+      debug: false
+    pose_estimation_method: pnp
+    tag:
+      ids: [6, 7]
+      frames: [top_base, thumb_roll]
+      sizes: [0.016, 0.016]

src/linkerhand_calibration/config/l6_right_product.yaml

@@ -0,0 +1,37 @@
+schema_version: 2
+profile_id: L6/right/l6_right_8/v1
+model: L6
+side: right
+tag_layout: l6_right_8
+namespace: /l6_calibration
+serial_number: L6_RIGHT_001
+can_interface: can0
+output_root: calibration_output
+
+cameras:
+  front:
+    serial_number: DB2163742
+    camera_name: hikrobot_front_DB2163742
+    camera_info: ~/.ros/camera_info/hikrobot_DB2163742.yaml
+  side:
+    serial_number: DB2163749
+    camera_name: hikrobot_side_DB2163749
+    camera_info: ~/.ros/camera_info/hikrobot_DB2163749.yaml
+  top:
+    serial_number: DB2163739
+    camera_name: hikrobot_top_DB2163739
+    camera_info: ~/.ros/camera_info/hikrobot_DB2163739.yaml
+
+artifacts:
+  source_urdf: package://linkerhand_calibration/urdf/l6_right/linkerhand_l6v3.1_right.urdf
+  source_urdf_sha256: 298c1fbf5189648911426f530b50bdbeea4830cab9c54e20f46c532485df4666
+  camera_extrinsics: config/g20_three_camera_extrinsics.yaml
+  camera_extrinsics_sha256: dd623572df3cb83fdefcbe92204dab54a60f2c68eb3a8c9bdb08407e8f0e5d80
+  calibration_config: package://linkerhand_calibration/config/l6_three_camera_calibration.yaml
+  calibration_config_sha256: 0934699c8225891e748deefef6791eb28355821b89aeadd1f7ff0b7f7b4d265f
+  tag_config: package://linkerhand_calibration/config/l6_right_8_tags.yaml
+  tag_config_sha256: be1499eb947b61d2fe360ae2c92307a87710480fae8a9dd4cd171fc959fdcbf5
+
+release:
+  required_independent_passes: 1
+  static_repeatability_deg: 1.0

src/linkerhand_calibration/config/l6_three_camera_calibration.yaml

@@ -0,0 +1,67 @@
+l6_calibration:
+  ros__parameters:
+    command_topic: /l6/cb_right_hand_control_cmd
+    state_topic: /l6/cb_right_hand_state
+    setting_topic: /l6/cb_hand_setting_cmd
+    front_camera_info_topic: /l6_calibration/front/camera/camera_info
+    front_detections_topic: /l6_calibration/front/apriltag/detections
+    side_camera_info_topic: /l6_calibration/side/camera/camera_info
+    side_detections_topic: /l6_calibration/side/apriltag/detections
+    top_camera_info_topic: /l6_calibration/top/camera/camera_info
+    top_detections_topic: /l6_calibration/top/apriltag/detections
+
+    baseline_command_u8: [255, 255, 255, 255, 255, 255]
+    # L6_RIGHT_001 measured a 250->5 travel of only ~0.9 s at speed 10,
+    # which left fewer than 32 useful feedback bins. Speed 1 is still only a
+    # firmware ceiling: different L6 motors complete a full stroke in 0.7-1.3 s.
+    # A 100 Hz cosine trajectory therefore sets the actual, model-level pace.
+    preflight_speed_u8: 1
+    formal_speed_u8: 1
+    speed_settle_seconds: 0.2
+    command_trajectory_full_range_seconds: 6.0
+    torque_u8: 80
+    repetitions: 4
+    preflight_checkpoints_u8: [255, 127, 0]
+    tag_size_m: 0.016
+    tag_size_override_ids: [0, 1, 2, 3, 4, 5, 6, 7]
+    tag_size_overrides_m: [0.016, 0.016, 0.016, 0.016, 0.016, 0.016, 0.016, 0.016]
+
+    minimum_detection_rate: 0.95
+    # Per-Tag quality remains >=95%. With three independently detected Tags,
+    # the fully joined frame rate may be 0.95^3 ~= 85.7%.
+    minimum_joint_frame_rate: 0.85
+    minimum_feedback_hz: 25.0
+    maximum_state_image_skew_ms: 50.0
+    maximum_hamming: 0
+    minimum_decision_margin: 30.0
+    minimum_edge_pixels: 30.0
+    pnp_maximum_reprojection_error_px: 1.5
+    pnp_reprojection_tie_px: 1.5
+    pnp_maximum_pose_jump_deg: 35.0
+    pnp_maximum_translation_jump_m: 0.04
+    pnp_maximum_tag_tilt_deg: 75.0
+    pnp_tracker_reset_seconds: 5.0
+
+    minimum_sweep_frames: 40
+    minimum_state_span_u8: 240.0
+    minimum_sweep_bins: 32
+    maximum_bin_gap: 16
+    maximum_monotonic_correction_deg: 2.0
+    passive_maximum_monotonic_correction_deg: 3.0
+    maximum_validation_mae_deg: 1.0
+    maximum_validation_p95_deg: 2.0
+    maximum_validation_error_deg: 3.0
+    mimic_minimum_multiplier: 0.5
+    mimic_maximum_multiplier: 1.5
+    mimic_maximum_cycle_range: 0.03
+    mimic_maximum_residual_p95_deg: 2.0
+
+    endpoint_tolerance_u8: 2.0
+    endpoint_hold_seconds: 1.0
+    motor_stall_timeout_seconds: 2.0
+    position_timeout_seconds: 30.0
+    sweep_timeout_seconds: 90.0
+    automatic_sweep_retry_limit: 2
+    non_target_motion_tolerance_u8: 3.0
+    fixed_base_maximum_corner_drift_px: 2.0
+    fixed_base_movement_confirmation_frames: 5

src/linkerhand_calibration/g20_thumb_apriltag_calibration/__init__.py

@@ -0,0 +1,21 @@
+"""One-release compatibility surface for the former Python package name.
+
+New code must import :mod:`linkerhand_calibration`.  Only the documented
+configuration loader is re-exported here; calibration algorithms continue to
+have a single implementation in the renamed package.
+"""
+
+from __future__ import annotations
+
+import warnings
+
+warnings.warn(
+    "g20_thumb_apriltag_calibration is deprecated; "
+    "import linkerhand_calibration instead",
+    DeprecationWarning,
+    stacklevel=2,
+)
+
+from linkerhand_calibration.product import ProductConfig, load_product_config
+
+__all__ = ["ProductConfig", "load_product_config"]

src/linkerhand_calibration/g20_thumb_apriltag_calibration/calibrated_joint_state_bridge.py

@@ -0,0 +1,9 @@
+"""Deprecated forwarding entry point for the runtime joint-state bridge."""
+
+from linkerhand_calibration.calibrated_joint_state_bridge import main
+
+__all__ = ["main"]
+
+
+if __name__ == "__main__":
+    main()

src/linkerhand_calibration/g20_thumb_apriltag_calibration/offline_replay.py

@@ -0,0 +1,9 @@
+"""Deprecated forwarding entry point for offline replay."""
+
+from linkerhand_calibration.offline_replay import main
+
+__all__ = ["main"]
+
+
+if __name__ == "__main__":
+    main()

src/linkerhand_calibration/g20_thumb_apriltag_calibration/one_command.py

@@ -0,0 +1,9 @@
+"""Deprecated forwarding entry point for the former Python package."""
+
+from linkerhand_calibration.one_command import main
+
+__all__ = ["main"]
+
+
+if __name__ == "__main__":
+    main()

src/linkerhand_calibration/launch/calibrated_joint_state_bridge.launch.py

@@ -1,4 +1,4 @@
-"""Publish calibrated G20 URDF angles from raw command/feedback u8 values."""
+"""Publish profile-calibrated URDF angles from raw command/feedback u8 values."""
 
 from launch import LaunchDescription
 from launch.actions import DeclareLaunchArgument
@@ -14,10 +14,10 @@ def generate_launch_description() -> LaunchDescription:
             DeclareLaunchArgument("input_topic", default_value=""),
             DeclareLaunchArgument("output_topic", default_value=""),
             Node(
-                package="g20_thumb_apriltag_calibration",
+                package="linkerhand_calibration",
                 executable="calibrated_joint_state_bridge",
                 name=[
-                    "g20_calibrated_joint_state_bridge_",
+                    "calibrated_joint_state_bridge_",
                     LaunchConfiguration("hand_type"),
                 ],
                 output="screen",

src/linkerhand_calibration/launch/front_cmc_pitch_zero.launch.py

@@ -48,7 +48,7 @@ def _launch_stack(context):
     tag_config = LaunchConfiguration("tag_config").perform(context)
     zero_config = LaunchConfiguration("zero_config").perform(context)
     camera = Node(
-        package="g20_thumb_apriltag_calibration",
+        package="linkerhand_calibration",
         executable="hikrobot_camera_node",
         name="hikrobot_camera",
         namespace="/camera/camera/color",
@@ -158,7 +158,7 @@ def _launch_stack(context):
     )
 
     zero_node = Node(
-        package="g20_thumb_apriltag_calibration",
+        package="linkerhand_calibration",
         executable="cmc_pitch_zero_node",
         name="g20_thumb_cmc_pitch_zero",
         output="screen",
@@ -203,7 +203,7 @@ def _launch_stack(context):
 
 def generate_launch_description() -> LaunchDescription:
     package_share = Path(
-        get_package_share_directory("g20_thumb_apriltag_calibration")
+        get_package_share_directory("linkerhand_calibration")
     )
     return LaunchDescription(
         [

src/linkerhand_calibration/launch/front_cmc_roll_calibration.launch.py

@@ -50,7 +50,7 @@ def _launch_stack(context):
         "calibration_config"
     ).perform(context)
     camera = Node(
-        package="g20_thumb_apriltag_calibration",
+        package="linkerhand_calibration",
         executable="hikrobot_camera_node",
         name="hikrobot_camera",
         namespace="/camera/camera/color",
@@ -160,7 +160,7 @@ def _launch_stack(context):
     )
 
     calibration_node = Node(
-        package="g20_thumb_apriltag_calibration",
+        package="linkerhand_calibration",
         executable="cmc_roll_calibration_node",
         name="g20_thumb_cmc_roll_calibration",
         output="screen",
@@ -205,7 +205,7 @@ def _launch_stack(context):
 
 def generate_launch_description() -> LaunchDescription:
     package_share = Path(
-        get_package_share_directory("g20_thumb_apriltag_calibration")
+        get_package_share_directory("linkerhand_calibration")
     )
     return LaunchDescription(
         [

src/linkerhand_calibration/launch/front_thumb_calibration.launch.py

@@ -82,7 +82,7 @@ def _launch_stack(context):
             )
 
     camera = Node(
-        package="g20_thumb_apriltag_calibration",
+        package="linkerhand_calibration",
         executable="hikrobot_camera_node",
         name="hikrobot_camera",
         namespace="/camera/camera/color",
@@ -234,7 +234,7 @@ def _launch_stack(context):
     )
 
     calibration = Node(
-        package="g20_thumb_apriltag_calibration",
+        package="linkerhand_calibration",
         executable="calibration_node",
         name="g20_thumb_calibration",
         output="screen",
@@ -315,7 +315,7 @@ def _launch_stack(context):
 
 def generate_launch_description() -> LaunchDescription:
     package_share = Path(
-        get_package_share_directory("g20_thumb_apriltag_calibration")
+        get_package_share_directory("linkerhand_calibration")
     )
     default_output = str(Path.cwd() / "calibration_output")
     return LaunchDescription(

src/linkerhand_calibration/launch/three_camera_calibration.launch.py

@@ -1,4 +1,4 @@
-"""Launch three Hikrobot views and one complete-G20 calibration owner."""
+"""Launch three Hikrobot views and one registered hand calibration owner."""
 
 from __future__ import annotations
 
@@ -26,20 +26,27 @@ from launch_ros.parameter_descriptions import ParameterValue
 VIEWS = ("front", "side", "top")
 
 
-def _default_source_urdf(hand_type: str) -> Path:
-    relative = Path(
-        "assets/robots/hands/linker_hand"
-    ) / f"g20_{hand_type}" / f"linkerhand_g20_{hand_type}.urdf"
-    workspace = Path.cwd() / "src/linkerhand_retarget/linkerhand_retarget" / relative
+def _default_source_urdf(model: str, hand_type: str) -> Path:
+    relative = (
+        Path("urdf") / "l6_right" / "linkerhand_l6v3.1_right.urdf"
+        if model.upper() == "L6" and hand_type == "right"
+        else Path("urdf")
+        / f"{model.lower()}_{hand_type}"
+        / f"linkerhand_{model.lower()}_{hand_type}.urdf"
+    )
+    package_source_or_share = Path(__file__).resolve().parents[1] / relative
     try:
-        installed = Path(get_package_share_directory("linkerhand_retarget")) / relative
+        installed = (
+            Path(get_package_share_directory("linkerhand_calibration"))
+            / relative
+        )
     except Exception:
-        installed = workspace
-    return workspace if workspace.is_file() else installed
+        installed = package_source_or_share
+    return installed if installed.is_file() else package_source_or_share
 
 
 def _launch_stack(context):
-    from g20_thumb_apriltag_calibration.product import (
+    from linkerhand_calibration.product import (
         get_product_calibration_contract,
     )
 
@@ -56,7 +63,7 @@ def _launch_stack(context):
         raise RuntimeError(str(error)) from error
     requested_tag_config = LaunchConfiguration("tag_config").perform(context)
     package_share = Path(
-        get_package_share_directory("g20_thumb_apriltag_calibration")
+        get_package_share_directory("linkerhand_calibration")
     )
     tag_config = (
         Path(requested_tag_config).expanduser().resolve()
@@ -66,6 +73,8 @@ def _launch_stack(context):
         / (
             "three_camera_tags_g20_right_19.yaml"
             if tag_layout == "g20_right_19"
+            else "l6_right_8_tags.yaml"
+            if tag_layout == "l6_right_8"
             else "three_camera_tags_g20_right_15.yaml"
             if tag_layout == "g20_right_15"
             else "three_camera_tags.yaml"
@@ -81,17 +90,17 @@ def _launch_stack(context):
     source_urdf = (
         Path(requested_source).expanduser().resolve()
         if requested_source
-        else _default_source_urdf(hand_type).resolve()
+        else _default_source_urdf(model, hand_type).resolve()
     )
     if not source_urdf.is_file():
         raise RuntimeError(f"source URDF does not exist: {source_urdf}")
     expected_source_hash = LaunchConfiguration(
         "source_urdf_expected_sha256"
     ).perform(context).strip().lower()
-    if contract.profile.supports("urdf_zero_publication"):
+    if contract.typed_profile.artifacts.publish_corrected_urdf:
         if re.fullmatch(r"[0-9a-f]{64}", expected_source_hash) is None:
             raise RuntimeError(
-                "G20 right product layout requires source_urdf_expected_sha256 confirmed "
+                "this profile requires source_urdf_expected_sha256 confirmed "
                 "by the CAD/hardware owner"
             )
         actual_source_hash = hashlib.sha256(source_urdf.read_bytes()).hexdigest()
@@ -137,19 +146,20 @@ def _launch_stack(context):
     raw_topics = []
     info_topics = []
     detection_topics = []
+    calibration_namespace = contract.typed_profile.namespace
     for view in VIEWS:
-        namespace = f"/g20_calibration/{view}/camera"
+        namespace = f"{calibration_namespace}/{view}/camera"
         raw_topic = f"{namespace}/image_raw"
         info_topic = f"{namespace}/camera_info"
         rect_topic = f"{namespace}/image_rect"
-        detector_namespace = f"/g20_calibration/{view}/apriltag"
+        detector_namespace = f"{calibration_namespace}/{view}/apriltag"
         detection_topic = f"{detector_namespace}/detections"
         raw_topics.append(raw_topic)
         info_topics.append(info_topic)
         detection_topics.append(detection_topic)
         cameras.append(
             Node(
-                package="g20_thumb_apriltag_calibration",
+                package="linkerhand_calibration",
                 executable="hikrobot_camera_node",
                 name="hikrobot_camera",
                 namespace=namespace,
@@ -165,7 +175,9 @@ def _launch_stack(context):
                         "camera_name": LaunchConfiguration(
                             f"{view}_camera_name"
                         ),
-                        "frame_id": f"g20_calibration_{view}_optical_frame",
+                        "frame_id": (
+                            f"{model.lower()}_calibration_{view}_optical_frame"
+                        ),
                         "image_width": 1624,
                         "image_height": 1240,
                         "frame_rate": ParameterValue(
@@ -228,7 +240,7 @@ def _launch_stack(context):
         )
 
     vision = ComposableNodeContainer(
-        name="g20_three_camera_vision",
+        name=f"{model.lower()}_three_camera_vision",
         namespace="/",
         package="rclcpp_components",
         executable="component_container_mt",
@@ -260,10 +272,10 @@ def _launch_stack(context):
                 # G20 velocity read sends another five synchronous CAN
                 # queries, so keep it off the trajectory-critical path.
                 "velocity_poll_rate": 1.0,
-                # Calibration sends one endpoint command per sweep.  Keep
-                # polling the real motor state during the following motion;
-                # otherwise the SDK republishes a stale state for 0.2 s and
-                # creates 17-27 command-unit holes in the trajectory bins.
+                # G20 sends an endpoint and L6 streams a bounded trajectory.
+                # Keep polling the real motor state during either command path;
+                # otherwise the SDK republishes stale state and creates large
+                # command-unit holes in the trajectory bins.
                 "defer_state_reads_while_commanding": False,
                 "repeat_position_commands": False,
                 "is_touch": False,
@@ -271,11 +283,15 @@ def _launch_stack(context):
         ],
     )
     calibration = Node(
-        package="g20_thumb_apriltag_calibration",
+        package="linkerhand_calibration",
         executable="three_camera_calibration_node",
-        name="g20_calibration",
+        name=f"{model.lower()}_calibration",
         output="screen",
         emulate_tty=True,
+        arguments=[
+            "--profile-id",
+            contract.typed_profile.key.profile_id,
+        ],
         parameters=[
             LaunchConfiguration("calibration_config"),
             {
@@ -294,7 +310,7 @@ def _launch_stack(context):
                 # cb_<side>_hand_info has a subscriber. Calibration only used
                 # that topic to display a speed diagnostic, while those reads
                 # created 17-33 command-unit holes in position trajectories.
-                "info_topic": "/g20_calibration/disabled_hand_info",
+                "info_topic": f"{calibration_namespace}/disabled_hand_info",
                 "command_topic": command_topic,
                 "state_topic": state_topic,
                 "camera_extrinsics_file": LaunchConfiguration(
@@ -304,6 +320,15 @@ def _launch_stack(context):
                 "source_urdf_expected_sha256": LaunchConfiguration(
                     "source_urdf_expected_sha256"
                 ),
+                "camera_extrinsics_expected_sha256": LaunchConfiguration(
+                    "camera_extrinsics_expected_sha256"
+                ),
+                "calibration_config_expected_sha256": LaunchConfiguration(
+                    "calibration_config_expected_sha256"
+                ),
+                "tag_config_expected_sha256": LaunchConfiguration(
+                    "tag_config_expected_sha256"
+                ),
                 "corrected_urdf_output_dir": LaunchConfiguration(
                     "corrected_urdf_output_dir"
                 ),
@@ -358,14 +383,14 @@ def _launch_stack(context):
             command_topic,
             state_topic,
             info_topic,
-            "/g20_calibration/status",
+            f"{calibration_namespace}/status",
         ],
         output="screen",
     )
     return [
         LogInfo(
             msg=(
-                f"G20 {hand_type} {tag_layout} three-camera session: {session_dir}; "
+                f"{model} {hand_type} {tag_layout} three-camera session: {session_dir}; "
                 f"source_urdf={source_urdf}"
             )
         ),
@@ -386,7 +411,7 @@ def _launch_stack(context):
 
 def generate_launch_description() -> LaunchDescription:
     package_share = Path(
-        get_package_share_directory("g20_thumb_apriltag_calibration")
+        get_package_share_directory("linkerhand_calibration")
     )
     info_root = Path.home() / ".ros" / "camera_info"
     return LaunchDescription(
@@ -473,6 +498,15 @@ def generate_launch_description() -> LaunchDescription:
             DeclareLaunchArgument(
                 "source_urdf_expected_sha256", default_value=""
             ),
+            DeclareLaunchArgument(
+                "camera_extrinsics_expected_sha256", default_value=""
+            ),
+            DeclareLaunchArgument(
+                "calibration_config_expected_sha256", default_value=""
+            ),
+            DeclareLaunchArgument(
+                "tag_config_expected_sha256", default_value=""
+            ),
             DeclareLaunchArgument(
                 "corrected_urdf_output_dir", default_value=""
             ),

src/linkerhand_calibration/launch/three_camera_extrinsics.launch.py

@@ -26,7 +26,7 @@ def _launch(context):
         namespace = f"/g20_extrinsics/{view}/camera"
         cameras.append(
             Node(
-                package="g20_thumb_apriltag_calibration",
+                package="linkerhand_calibration",
                 executable="hikrobot_camera_node",
                 name="hikrobot_camera",
                 namespace=namespace,
@@ -85,7 +85,7 @@ def _launch(context):
         output="screen",
     )
     solver = Node(
-        package="g20_thumb_apriltag_calibration",
+        package="linkerhand_calibration",
         executable="three_camera_extrinsics_node",
         name="g20_camera_extrinsics",
         output="screen",
@@ -138,7 +138,7 @@ def _launch(context):
 
 def generate_launch_description() -> LaunchDescription:
     package_share = Path(
-        get_package_share_directory("g20_thumb_apriltag_calibration")
+        get_package_share_directory("linkerhand_calibration")
     )
     camera_info = Path.home() / ".ros" / "camera_info"
     return LaunchDescription(

src/linkerhand_calibration/linkerhand_calibration/__init__.py

@@ -0,0 +1,5 @@
+"""Profile-driven LinkerHand calibration and validated URDF correction."""
+
+from .core import CalibrationProfile, ProfileKey
+
+__all__ = ["CalibrationProfile", "ProfileKey"]

src/linkerhand_calibration/linkerhand_calibration/acquisition.py

@@ -9,7 +9,7 @@ from typing import Any, Mapping, Sequence
 
 import numpy as np
 
-from .core import PAIR_NAMES, robust_rotation_summary
+from .core import robust_rotation_summary
 from .pnp import SquareTagPose
 
 
@@ -18,6 +18,7 @@ TAG_PAIR_ROLES: dict[str, tuple[str, str]] = {
     "t3_t4": ("t3", "t4"),
     "t4_t5": ("t4", "t5"),
 }
+PAIR_NAMES: tuple[str, ...] = tuple(TAG_PAIR_ROLES)
 
 
 @dataclass(frozen=True)
@@ -116,7 +117,7 @@ def interpolate_state_u8(
     *,
     maximum_skew_ns: int,
 ) -> tuple[tuple[float, ...], int] | None:
-    """Interpolate the 20-D hand state at an image timestamp.
+    """Interpolate a profile-sized hand state at an image timestamp.
 
     The SDK publishes state independently from the camera.  Continuous
     calibration must therefore use the image timestamp instead of whichever
@@ -150,7 +151,11 @@ def interpolate_state_u8(
         fraction = before_gap / denominator
         before_values = np.asarray(before.position_u8, dtype=float)
         after_values = np.asarray(after.position_u8, dtype=float)
-        if before_values.shape != (20,) or after_values.shape != (20,):
+        if (
+            before_values.ndim != 1
+            or before_values.size == 0
+            or after_values.shape != before_values.shape
+        ):
             return None
         interpolated = before_values + fraction * (after_values - before_values)
         return (

src/linkerhand_calibration/linkerhand_calibration/calibrated_joint_state_bridge.py

@@ -1,4 +1,4 @@
-"""Map G20 u8 feedback to URDF joint angles using one calibration JSON.
+"""Map model SDK u8 feedback to URDF joint angles using one calibration JSON.
 
 The static encoder-zero corrections in ``zero_angles`` are already baked into
 the corrected URDF joint origins.  This bridge therefore publishes only the
@@ -26,6 +26,7 @@ from .full_hand import (
     infer_compact_payload_layout,
     validate_compact_payload,
 )
+from .models.l6.artifacts import validate_l6_runtime_payload
 
 
 G20_COMMAND_NAMES: tuple[str, ...] = (
@@ -80,12 +81,16 @@ G20_URDF_JOINT_NAMES: tuple[str, ...] = (
 
 
 class CalibratedCommandMapper:
-    """Validated, side-specific lookup from G20 u8 values to URDF radians."""
+    """Validated, profile-specific lookup from SDK u8 values to URDF radians."""
 
     def __init__(
         self, payload: Mapping[str, Any], *, expected_side: str | None = None
     ) -> None:
-        validate_compact_payload(payload)
+        schema_version = int(payload["schema_version"])
+        if schema_version == 6:
+            validate_l6_runtime_payload(payload)
+        else:
+            validate_compact_payload(payload)
         side = str(payload["side"]).lower()
         if expected_side is not None and side != str(expected_side).lower():
             raise ValueError(
@@ -95,12 +100,18 @@ class CalibratedCommandMapper:
         quality = payload["quality"]
         if quality.get("passed") is not True:
             raise ValueError("calibration quality.passed must be true")
-        layout_id = infer_compact_payload_layout(payload)
-        profile = get_hand_calibration_profile(side, layout_id)
+        layout_id = (
+            str(payload["layout_id"])
+            if schema_version == 6
+            else infer_compact_payload_layout(payload)
+        )
         self.side = side
         self.layout_id = layout_id
+        self.model = str(payload["model"]).upper()
+        self.profile_id = str(
+            payload.get("profile_id", f"G20/{side}/{layout_id}/v1")
+        )
         self.serial_number = str(payload["serial_number"])
-        schema_version = int(payload["schema_version"])
         self.input_domain = str(
             payload.get(
                 "curve_input_domain",
@@ -109,16 +120,29 @@ class CalibratedCommandMapper:
         )
         if self.input_domain not in {"command_u8", "feedback_u8"}:
             raise ValueError("calibration curve_input_domain is invalid")
-        self._motor_by_joint = {
-            name: int(profile.joint_specs[name].motor_index)
-            for name in G20_URDF_JOINT_NAMES
-        }
+        if schema_version == 6:
+            self.command_names = tuple(str(value) for value in payload["command_names"])
+            self.urdf_joint_names = tuple(str(name) for name in payload["joints"])
+            self._motor_by_joint = {
+                name: int(payload["joints"][name]["motor_index"])
+                for name in self.urdf_joint_names
+            }
+            self.feedback_name_aliases = {"thumb_cmc_yaw": "thumb_cmc_roll"}
+        else:
+            profile = get_hand_calibration_profile(side, layout_id)
+            self.command_names = G20_COMMAND_NAMES
+            self.urdf_joint_names = G20_URDF_JOINT_NAMES
+            self._motor_by_joint = {
+                name: int(profile.joint_specs[name].motor_index)
+                for name in self.urdf_joint_names
+            }
+            self.feedback_name_aliases = {}
         self._curves = {
             name: tuple(
                 float(value)
                 for value in payload["joints"][name]["angle_rad"]
             )
-            for name in G20_URDF_JOINT_NAMES
+            for name in self.urdf_joint_names
         }
         self._decreasing_curves = {
             name: tuple(
@@ -127,7 +151,7 @@ class CalibratedCommandMapper:
                     "decreasing_rad", payload["joints"][name]["angle_rad"]
                 )
             )
-            for name in G20_URDF_JOINT_NAMES
+            for name in self.urdf_joint_names
         }
         self._increasing_curves = {
             name: tuple(
@@ -136,7 +160,7 @@ class CalibratedCommandMapper:
                     "increasing_rad", payload["joints"][name]["angle_rad"]
                 )
             )
-            for name in G20_URDF_JOINT_NAMES
+            for name in self.urdf_joint_names
         }
         self._previous_by_motor: dict[int, float] = {}
         self._direction_by_motor: dict[int, str] = {}
@@ -161,16 +185,21 @@ class CalibratedCommandMapper:
             if len(set(names)) != len(names):
                 raise ValueError("JointState names must be unique")
             by_name = dict(zip((str(name) for name in names), values))
-            missing = [name for name in G20_COMMAND_NAMES if name not in by_name]
+            for alias, canonical in self.feedback_name_aliases.items():
+                if alias in by_name and canonical not in by_name:
+                    by_name[canonical] = by_name[alias]
+            missing = [name for name in self.command_names if name not in by_name]
             if missing:
                 raise ValueError(
-                    "G20 command is missing named channels: " + ",".join(missing)
+                    f"{self.model} feedback is missing named channels: "
+                    + ",".join(missing)
                 )
-            command = tuple(by_name[name] for name in G20_COMMAND_NAMES)
+            command = tuple(by_name[name] for name in self.command_names)
         else:
-            if len(values) != len(G20_COMMAND_NAMES):
+            if len(values) != len(self.command_names):
                 raise ValueError(
-                    "unnamed G20 command must contain exactly 20 positions"
+                    f"unnamed {self.model} feedback must contain exactly "
+                    f"{len(self.command_names)} positions"
                 )
             command = values
         indices = tuple(self._command_index(value) for value in command)
@@ -185,7 +214,7 @@ class CalibratedCommandMapper:
                     direction = "decreasing"
             direction_by_motor[motor] = direction
         result: list[float] = []
-        for name in G20_URDF_JOINT_NAMES:
+        for name in self.urdf_joint_names:
             motor = self._motor_by_joint[name]
             direction = direction_by_motor[motor]
             curves = (
@@ -214,20 +243,22 @@ def load_calibrated_command_mapper(
     return CalibratedCommandMapper(payload, expected_side=expected_side)
 
 
-def default_input_topic(hand_type: str, input_domain: str) -> str:
+def default_input_topic(
+    hand_type: str, input_domain: str, model: str = "G20"
+) -> str:
     side = str(hand_type).lower()
     if side not in {"left", "right"}:
         raise ValueError("hand_type must be left or right")
     if input_domain == "feedback_u8":
-        return f"/g20/cb_{side}_hand_state"
+        return f"/{str(model).lower()}/cb_{side}_hand_state"
     if input_domain == "command_u8":
-        return f"/g20/cb_{side}_hand_control_cmd"
+        return f"/{str(model).lower()}/cb_{side}_hand_control_cmd"
     raise ValueError("calibration curve_input_domain is invalid")
 
 
 class CalibratedJointStateBridge(Node):
     def __init__(self) -> None:
-        super().__init__("g20_calibrated_joint_state_bridge")
+        super().__init__("calibrated_joint_state_bridge")
         self.declare_parameter("hand_type", "right")
         self.declare_parameter("calibration_file", "")
         self.declare_parameter("input_topic", "")
@@ -245,10 +276,11 @@ class CalibratedJointStateBridge(Node):
         input_topic = str(self.get_parameter("input_topic").value).strip()
         output_topic = str(self.get_parameter("output_topic").value).strip()
         self.input_topic = input_topic or default_input_topic(
-            hand_type, self.mapper.input_domain
+            hand_type, self.mapper.input_domain, self.mapper.model
         )
         self.output_topic = (
-            output_topic or f"/sim/mujoco/g20/{hand_type}/joint_state"
+            output_topic
+            or f"/sim/mujoco/{self.mapper.model.lower()}/{hand_type}/joint_state"
         )
         self.publisher = self.create_publisher(JointState, self.output_topic, 10)
         self.subscription = self.create_subscription(
@@ -256,7 +288,8 @@ class CalibratedJointStateBridge(Node):
         )
         self._last_error = ""
         self.get_logger().info(
-            f"loaded {hand_type} G20 calibration for {self.mapper.serial_number}: "
+            f"loaded {self.mapper.profile_id} calibration for "
+            f"{self.mapper.serial_number}: "
             f"{self.input_topic} ({self.mapper.input_domain}) -> "
             f"{self.output_topic}"
         )
@@ -273,7 +306,7 @@ class CalibratedJointStateBridge(Node):
         self._last_error = ""
         result = JointState()
         result.header = command.header
-        result.name = list(G20_URDF_JOINT_NAMES)
+        result.name = list(self.mapper.urdf_joint_names)
         result.position = list(positions)
         self.publisher.publish(result)
 

src/linkerhand_calibration/linkerhand_calibration/compat/__init__.py

@@ -0,0 +1,21 @@
+"""Compatibility adapters for one-release calibration migrations."""
+
+from .config_v1 import (
+    legacy_default_profile_key,
+    product_profile_key,
+    resolve_legacy_profile_alias,
+)
+from .defaults import (
+    default_product_config_path,
+    default_three_camera_config_path,
+)
+from .paths import resolve_renamed_package_path
+
+__all__ = [
+    "default_product_config_path",
+    "default_three_camera_config_path",
+    "legacy_default_profile_key",
+    "product_profile_key",
+    "resolve_legacy_profile_alias",
+    "resolve_renamed_package_path",
+]

src/linkerhand_calibration/linkerhand_calibration/compat/config_v1.py

@@ -0,0 +1,47 @@
+"""Identity migration for deployed product configuration schemas."""
+
+from __future__ import annotations
+
+from typing import Any, Mapping
+
+from ..core import ProfileKey
+
+
+def product_profile_key(raw: Mapping[str, Any]) -> ProfileKey:
+    version = int(raw.get("schema_version", -1))
+    if version == 2:
+        key = ProfileKey.parse(str(raw.get("profile_id", "")))
+        for field, actual in (
+            ("model", key.model),
+            ("side", key.side),
+            ("tag_layout", key.layout),
+        ):
+            configured = str(raw.get(field, "")).strip()
+            if configured and configured.lower() != actual.lower():
+                raise ValueError(f"{field} differs from profile_id")
+        return key
+    if version != 1:
+        raise ValueError("product config schema_version must be 1 or 2")
+    model = str(raw.get("model", "")).strip().upper()
+    side = str(raw.get("side", "")).strip().lower()
+    layout = str(raw.get("tag_layout", "")).strip().lower()
+    if not layout and (model, side) == ("G20", "right"):
+        layout = "g20_right_19"
+    return ProfileKey(model, side, layout, 1)
+
+
+def legacy_default_profile_key() -> ProfileKey:
+    """Preserve the former no-argument executable for one release."""
+    return ProfileKey("G20", "right", "g20_right_19", 1)
+
+
+def resolve_legacy_profile_alias(key: ProfileKey) -> ProfileKey:
+    """Map retired layout identifiers to their reviewed physical profile."""
+    if (
+        key.model == "G20"
+        and key.side == "right"
+        and key.layout == "g20_right_15"
+        and key.revision == 1
+    ):
+        return ProfileKey("G20", "right", "g20_right_19", 1)
+    return key

src/linkerhand_calibration/linkerhand_calibration/compat/defaults.py

@@ -0,0 +1,16 @@
+"""One-release default selection for invocations without ``--config``."""
+
+from pathlib import Path
+
+from ament_index_python.packages import get_package_share_directory
+
+
+def default_product_config_path() -> Path:
+    share = Path(get_package_share_directory("linkerhand_calibration"))
+    return share / "config/g20_right_product.yaml"
+
+
+def default_three_camera_config_path() -> Path:
+    """Resolve the installed calibration defaults through the ROS index."""
+    share = Path(get_package_share_directory("linkerhand_calibration"))
+    return share / "config/three_camera_calibration.yaml"

src/linkerhand_calibration/linkerhand_calibration/compat/legacy/__init__.py

@@ -0,0 +1,4 @@
+"""Legacy single-camera algorithms retained for one compatibility release."""
+from .session_v1 import uses_coupled_full_hand_zero_solver
+
+__all__ = ["uses_coupled_full_hand_zero_solver"]

src/linkerhand_calibration/linkerhand_calibration/compat/legacy/session_v1.py

@@ -0,0 +1,24 @@
+"""Version selection for replaying durable pre-v3 hardware sessions."""
+
+from __future__ import annotations
+
+from typing import Any, Mapping
+
+
+def uses_coupled_full_hand_zero_solver(
+    session_start: Mapping[str, Any],
+) -> bool:
+    """Return the solver contract recorded by the legacy session header.
+
+    Capabilities are not consulted by the live runtime.  This adapter reads
+    the durable v1 header only so offline replay can reproduce an artifact
+    created before the independent thumb solver was introduced.
+    """
+    capabilities = {
+        str(value) for value in session_start.get("capabilities", ())
+    }
+    return (
+        int(session_start.get("sample_schema_version", 1)) == 1
+        and "palm_axis_side_channel_v2" in capabilities
+        and "palm_axis_relative_motion_v3" not in capabilities
+    )

src/linkerhand_calibration/linkerhand_calibration/compat/paths.py

@@ -0,0 +1,52 @@
+"""Path compatibility for immutable v1 product configurations."""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+
+_LEGACY_SOURCE_PREFIX = Path("src/g20_thumb_apriltag_calibration")
+_CURRENT_SOURCE_PREFIX = Path("src/linkerhand_calibration")
+
+
+def _resolve_package_uri(value: str, workspace: Path) -> Path | None:
+    prefix = "package://"
+    if not value.startswith(prefix):
+        return None
+    package_name, separator, relative = value[len(prefix) :].partition("/")
+    if not separator or not package_name or not relative:
+        raise ValueError(f"invalid ROS package resource path: {value}")
+    workspace_candidate = (workspace / "src" / package_name / relative).resolve()
+    if workspace_candidate.exists():
+        return workspace_candidate
+    try:
+        from ament_index_python.packages import get_package_share_directory
+
+        package_share = Path(get_package_share_directory(package_name))
+    except Exception:
+        return workspace_candidate
+    return (package_share / relative).resolve()
+
+
+def resolve_renamed_package_path(value: str | Path, workspace: Path) -> Path:
+    """Resolve workspace paths, ROS package resources and the former prefix.
+
+    Deployed v1 product YAML files are kept byte-for-byte stable because the
+    artifact paths participate in operational review.  Existing paths always
+    win; package URIs prefer a source-workspace copy, and the rename mapping
+    is used only when the literal legacy path no longer exists.
+    """
+    text = str(value).strip()
+    package_resource = _resolve_package_uri(text, workspace)
+    if package_resource is not None:
+        return package_resource
+    raw = Path(text).expanduser()
+    candidate = raw if raw.is_absolute() else workspace / raw
+    candidate = candidate.resolve()
+    if candidate.exists() or raw.is_absolute():
+        return candidate
+    try:
+        suffix = raw.relative_to(_LEGACY_SOURCE_PREFIX)
+    except ValueError:
+        return candidate
+    return (workspace / _CURRENT_SOURCE_PREFIX / suffix).resolve()

src/linkerhand_calibration/linkerhand_calibration/core/__init__.py

@@ -0,0 +1,76 @@
+"""Hardware- and model-independent calibration kernel."""
+
+from .domain import (
+    ArtifactPolicy,
+    CalibrationProfile,
+    CommandLayout,
+    MeasurementPolicy,
+    MeasurementSpec,
+    MotionPolicy,
+    ProfileKey,
+    ProfileValidationError,
+    QualityPolicy,
+    SampleRecord,
+    ScopePolicy,
+    TagSpec,
+    TaskSpec,
+    ViewSpec,
+    VisionRigSpec,
+    ZeroSolvePolicy,
+    validate_profile,
+)
+from .domain.task import (
+    DIRECTION_DECREASING,
+    DIRECTION_INCREASING,
+    DIRECTIONS,
+    PHASE_ROOT,
+    PHASE_TIP,
+)
+from .fitting import FitResult, isotonic_nonincreasing
+from .geometry import (
+    delta_rotation_vector,
+    fit_rotation_axis,
+    image_plane_tag_quaternion_xyzw,
+    normalize_quaternion_xyzw,
+    relative_quaternion_xyzw,
+    robust_rotation_summary,
+    rotation_inlier_fraction,
+    rotation_rms_rad,
+    rotation_spread_rad,
+)
+
+__all__ = [
+    "ArtifactPolicy",
+    "CalibrationProfile",
+    "CommandLayout",
+    "DIRECTION_DECREASING",
+    "DIRECTION_INCREASING",
+    "DIRECTIONS",
+    "FitResult",
+    "MeasurementPolicy",
+    "MeasurementSpec",
+    "MotionPolicy",
+    "PHASE_ROOT",
+    "PHASE_TIP",
+    "ProfileKey",
+    "ProfileValidationError",
+    "QualityPolicy",
+    "SampleRecord",
+    "ScopePolicy",
+    "TagSpec",
+    "TaskSpec",
+    "ViewSpec",
+    "VisionRigSpec",
+    "ZeroSolvePolicy",
+    "delta_rotation_vector",
+    "fit_rotation_axis",
+    "image_plane_tag_quaternion_xyzw",
+    "isotonic_nonincreasing",
+    "normalize_quaternion_xyzw",
+    "relative_quaternion_xyzw",
+    "robust_rotation_summary",
+    "rotation_inlier_fraction",
+    "rotation_rms_rad",
+    "rotation_spread_rad",
+    "validate_profile",
+]

src/linkerhand_calibration/linkerhand_calibration/core/artifacts/__init__.py

@@ -0,0 +1,5 @@
+"""Artifact schema and release validation contracts."""
+
+from .release import ReleaseValidation, ReleaseValidator
+
+__all__ = ["ReleaseValidation", "ReleaseValidator"]

src/linkerhand_calibration/linkerhand_calibration/core/artifacts/release.py

@@ -0,0 +1,27 @@
+"""Release validation protocol used before atomic publication."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Mapping, Protocol
+
+from ..domain import CalibrationProfile
+from ..urdf import UrdfCorrectionPlan
+
+
+@dataclass(frozen=True)
+class ReleaseValidation:
+    passed: bool
+    errors: tuple[str, ...] = ()
+    verified_hashes: Mapping[str, str] | None = None
+
+
+class ReleaseValidator(Protocol):
+    def validate_release(
+        self,
+        profile: CalibrationProfile,
+        plan: UrdfCorrectionPlan,
+        calibration_json: Path,
+        corrected_urdf: Path,
+    ) -> ReleaseValidation: ...

src/linkerhand_calibration/linkerhand_calibration/core/domain/__init__.py

@@ -0,0 +1,41 @@
+"""Calibration domain types."""
+
+from .profile import (
+    ArtifactPolicy,
+    CalibrationProfile,
+    CommandLayout,
+    MeasurementPolicy,
+    MeasurementSpec,
+    MotionPolicy,
+    ProfileKey,
+    ProfileValidationError,
+    QualityPolicy,
+    ScopePolicy,
+    TagSpec,
+    TaskSpec,
+    ViewSpec,
+    VisionRigSpec,
+    ZeroSolvePolicy,
+    validate_profile,
+)
+from .sample import SampleRecord
+
+__all__ = [
+    "ArtifactPolicy",
+    "CalibrationProfile",
+    "CommandLayout",
+    "MeasurementPolicy",
+    "MeasurementSpec",
+    "MotionPolicy",
+    "ProfileKey",
+    "ProfileValidationError",
+    "QualityPolicy",
+    "SampleRecord",
+    "ScopePolicy",
+    "TagSpec",
+    "TaskSpec",
+    "ViewSpec",
+    "VisionRigSpec",
+    "ZeroSolvePolicy",
+    "validate_profile",
+]

src/linkerhand_calibration/linkerhand_calibration/core/domain/profile.py

@@ -0,0 +1,390 @@
+"""Typed, hardware-independent calibration profile contracts."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from pathlib import PurePath
+from typing import Mapping
+
+
+@dataclass(frozen=True, order=True)
+class ProfileKey:
+    """Stable identity for one independently reviewed hand profile."""
+
+    model: str
+    side: str
+    layout: str
+    revision: int = 1
+
+    def __post_init__(self) -> None:
+        object.__setattr__(self, "model", str(self.model).strip().upper())
+        object.__setattr__(self, "side", str(self.side).strip().lower())
+        object.__setattr__(self, "layout", str(self.layout).strip().lower())
+        object.__setattr__(self, "revision", int(self.revision))
+        if not self.model or not self.side or not self.layout:
+            raise ValueError("profile identity fields must be non-empty")
+        if self.side not in {"left", "right"}:
+            raise ValueError("profile side must be left or right")
+        if self.revision < 1:
+            raise ValueError("profile revision must be positive")
+
+    @property
+    def profile_id(self) -> str:
+        return f"{self.model}/{self.side}/{self.layout}/v{self.revision}"
+
+    @classmethod
+    def parse(cls, value: str) -> "ProfileKey":
+        parts = str(value).strip().split("/")
+        if len(parts) != 4 or not parts[3].startswith("v"):
+            raise ValueError(
+                "profile_id must be MODEL/side/layout/vREVISION"
+            )
+        return cls(parts[0], parts[1], parts[2], int(parts[3][1:]))
+
+
+@dataclass(frozen=True)
+class CommandLayout:
+    """Command channels, joint bindings, and the reviewed baseline pose."""
+
+    names: tuple[str, ...]
+    baseline_u8: tuple[int, ...]
+    command_index_by_joint: Mapping[str, int]
+    disabled_indices: frozenset[int] = frozenset()
+    # Calibration names are allowed to stay model-neutral while the source
+    # URDF keeps any vendor/side prefixes (for example ``rh_``).
+    urdf_joint_by_joint: Mapping[str, str] = field(default_factory=dict)
+    # Older SDKs occasionally published a wrong label for a physically stable
+    # channel.  Aliases are accepted only at the declared channel index.
+    feedback_name_aliases: Mapping[str, str] = field(default_factory=dict)
+    # SDK speed commands are not necessarily one value per position channel.
+    # This mapping makes that protocol detail explicit in a profile.
+    speed_slot_by_command_index: Mapping[int, int] = field(default_factory=dict)
+
+    @property
+    def command_count(self) -> int:
+        return len(self.names)
+
+
+@dataclass(frozen=True)
+class TagSpec:
+    role: str
+    tag_id: int
+    fixed_reference: bool = False
+
+
+@dataclass(frozen=True)
+class ViewSpec:
+    name: str
+    tags: tuple[TagSpec, ...]
+
+
+@dataclass(frozen=True)
+class VisionRigSpec:
+    """Any number of named views and their Tag roles."""
+
+    views: tuple[ViewSpec, ...]
+    common_frame: str
+    extrinsic_reference_view: str
+    extrinsics_quality_limits: Mapping[str, float] = field(
+        default_factory=dict
+    )
+    minimum_capture_counts: Mapping[str, int] = field(default_factory=dict)
+
+    @property
+    def view_names(self) -> tuple[str, ...]:
+        return tuple(view.name for view in self.views)
+
+    @property
+    def tag_ids(self) -> frozenset[int]:
+        return frozenset(tag.tag_id for view in self.views for tag in view.tags)
+
+
+@dataclass(frozen=True)
+class TaskSpec:
+    key: str
+    view: str
+    command_index: int
+    joints: tuple[str, ...]
+    auxiliary_commands: tuple[tuple[int, int], ...] = ()
+    validation_only: bool = False
+    start_u8: int = 255
+    end_u8: int = 0
+    preflight_speed_u8: int | None = None
+    formal_speed_u8: int | None = None
+
+
+@dataclass(frozen=True)
+class MotionPolicy:
+    """Reviewed motion tasks and optional safe waypoint sequences."""
+
+    tasks: tuple[TaskSpec, ...]
+    preparation_waypoints_u8: tuple[tuple[int, ...], ...] = ()
+    safe_return_waypoints_u8: tuple[tuple[int, ...], ...] = ()
+    speed_parameters: Mapping[str, float] = field(default_factory=dict)
+    precheck_sweeps: bool = False
+    steady_command_checkpoints: bool = False
+
+
+@dataclass(frozen=True)
+class MeasurementSpec:
+    joint: str
+    kind: str
+    view: str | None
+    parent_role: str | None
+    child_role: str | None
+    validation_source: str | None = None
+    # Some measured trajectories publish only a dynamic curve while their
+    # static URDF zero/axis remains CAD- or mimic-owned.  For those joints a
+    # monocular 3-D axis-line residual is useful diagnostic evidence, but it
+    # must not reject an otherwise clean image/SO(3) trajectory merely because
+    # the hand was placed at a different valid position in the camera view.
+    pose_axis_line_required: bool = True
+
+
+@dataclass(frozen=True)
+class MeasurementPolicy:
+    measurements: Mapping[str, MeasurementSpec]
+    cross_view_sources: Mapping[str, str] = field(default_factory=dict)
+    image_curve_joints: frozenset[str] = frozenset()
+    directional_zero: bool = False
+    cross_view_roll_curve: bool = False
+    stable_cross_view_cone_bias: bool = False
+
+
+@dataclass(frozen=True)
+class ZeroSolvePolicy:
+    active_joints: frozenset[str]
+    passive_joints: frozenset[str]
+    direct_zero_joints: tuple[str, ...]
+    axis_joints: tuple[str, ...]
+    mechanical_endpoint_joints: frozenset[str]
+    post_solve_endpoint_joints: frozenset[str]
+    mimic_source_by_joint: Mapping[str, str]
+    cad_frozen_joints: frozenset[str]
+    # ``upper_at_end`` means TaskSpec.end_u8 is the trusted source-URDF upper
+    # physical endpoint.  The measured travel then defines the electrical
+    # zero and corrected [0, travel] coordinate range.
+    endpoint_anchor_by_joint: Mapping[str, str] = field(default_factory=dict)
+    fitted_mimic_joints: frozenset[str] = frozenset()
+    # Passive coupling is not necessarily representable by the linear URDF
+    # ``mimic`` element.  Profiles must opt in explicitly before a nonlinear
+    # runtime/MuJoCo relation may be published.
+    coupling_model_by_joint: Mapping[str, str] = field(default_factory=dict)
+
+
+@dataclass(frozen=True)
+class QualityPolicy:
+    training_cycles: tuple[int, ...]
+    holdout_cycle: int | None
+    hard_threshold_keys: frozenset[str]
+    retry_metric_scope: Mapping[str, str] = field(default_factory=dict)
+    isolated_holdout: bool = False
+
+
+@dataclass(frozen=True)
+class ScopePolicy:
+    calibrate_joints: Mapping[str, frozenset[str]]
+    frozen_joints: Mapping[str, frozenset[str]]
+    default_scope: str = "full"
+
+    def selected_joints(self, scope: str) -> frozenset[str]:
+        try:
+            return self.calibrate_joints[str(scope)]
+        except KeyError as error:
+            raise ValueError(f"unsupported calibration scope: {scope}") from error
+
+
+@dataclass(frozen=True)
+class ArtifactPolicy:
+    output_schema_version: int
+    calibration_filename: str
+    corrected_urdf_filename: str
+    protected_input_fields: frozenset[str]
+    publication_pointer: str = "latest_passed"
+    session_compatibility_tokens: frozenset[str] = frozenset()
+    publish_corrected_urdf: bool = False
+
+
+@dataclass(frozen=True)
+class CalibrationProfile:
+    key: ProfileKey
+    namespace: str
+    command: CommandLayout
+    vision: VisionRigSpec
+    motion: MotionPolicy
+    measurement: MeasurementPolicy
+    zero: ZeroSolvePolicy
+    quality: QualityPolicy
+    scope: ScopePolicy
+    artifacts: ArtifactPolicy
+    # Per-URDF-joint provenance used by partial calibration artifacts.
+    # Known values are: measured_static_dynamic, measured_dynamic_cad_static,
+    # transferred_static_dynamic, transferred_dynamic_cad_static, cad_nominal,
+    # and mimic_nominal.
+    joint_coverage: Mapping[str, str] = field(default_factory=dict)
+
+
+class ProfileValidationError(ValueError):
+    """Raised before hardware startup when a profile is internally unsafe."""
+
+
+def validate_profile(profile: CalibrationProfile) -> None:
+    """Hard-check all cross-policy references before hardware is enabled."""
+    errors: list[str] = []
+    command = profile.command
+    if not command.names or len(command.names) != len(command.baseline_u8):
+        errors.append("command names and baseline must be non-empty and aligned")
+    if len(set(command.names)) != len(command.names):
+        errors.append("command names must be unique")
+    if any(value < 0 or value > 255 for value in command.baseline_u8):
+        errors.append("baseline command values must be in [0, 255]")
+    indices = set(range(command.command_count))
+    if not set(command.disabled_indices).issubset(indices):
+        errors.append("disabled command index is out of range")
+    if any(index not in indices for index in command.command_index_by_joint.values()):
+        errors.append("joint command index is out of range")
+    if command.urdf_joint_by_joint:
+        if not set(command.command_index_by_joint).issubset(
+            command.urdf_joint_by_joint
+        ):
+            errors.append("every commanded joint must map to a URDF joint")
+        urdf_names = tuple(command.urdf_joint_by_joint.values())
+        if len(set(urdf_names)) != len(urdf_names):
+            errors.append("URDF joint mappings must be unique")
+    if any(
+        index not in indices or slot < 0
+        for index, slot in command.speed_slot_by_command_index.items()
+    ):
+        errors.append("speed-slot mapping is invalid")
+    if any(
+        not str(alias).strip() or canonical not in command.names
+        for alias, canonical in command.feedback_name_aliases.items()
+    ):
+        errors.append("feedback name alias is not part of the command schema")
+
+    view_names = profile.vision.view_names
+    if not view_names or len(set(view_names)) != len(view_names):
+        errors.append("vision views must be non-empty and unique")
+    if profile.vision.extrinsic_reference_view not in view_names:
+        errors.append("extrinsic reference view is not declared")
+    tag_ids = [tag.tag_id for view in profile.vision.views for tag in view.tags]
+    tag_roles = [tag.role for view in profile.vision.views for tag in view.tags]
+    if len(set(tag_ids)) != len(tag_ids):
+        errors.append("Tag IDs must be unique across views")
+    if len(set(tag_roles)) != len(tag_roles):
+        errors.append("Tag roles must be unique across views")
+    if not any(
+        tag.fixed_reference for view in profile.vision.views for tag in view.tags
+    ):
+        errors.append("at least one fixed reference Tag is required")
+
+    task_keys = [task.key for task in profile.motion.tasks]
+    if not task_keys or len(set(task_keys)) != len(task_keys):
+        errors.append("motion task keys must be non-empty and unique")
+    measurement_names = set(profile.measurement.measurements)
+    for task in profile.motion.tasks:
+        if task.view not in view_names:
+            errors.append(f"task {task.key} uses an unknown view")
+        if task.command_index not in indices:
+            errors.append(f"task {task.key} command index is out of range")
+        if not task.joints or not set(task.joints).issubset(measurement_names):
+            errors.append(f"task {task.key} references unknown measurements")
+        if any(index not in indices for index, _ in task.auxiliary_commands):
+            errors.append(f"task {task.key} auxiliary index is out of range")
+        if not 0 <= task.start_u8 <= 255 or not 0 <= task.end_u8 <= 255:
+            errors.append(f"task {task.key} sweep endpoint is out of range")
+        if task.start_u8 == task.end_u8:
+            errors.append(f"task {task.key} sweep endpoints must differ")
+        for speed in (task.preflight_speed_u8, task.formal_speed_u8):
+            if speed is not None and not 0 <= speed <= 255:
+                errors.append(f"task {task.key} speed is out of range")
+    for name, spec in profile.measurement.measurements.items():
+        if name != spec.joint:
+            errors.append(f"measurement mapping key differs for {name}")
+        if spec.view is not None and spec.view not in view_names:
+            errors.append(f"measurement {name} uses an unknown view")
+    for primary, validation in profile.measurement.cross_view_sources.items():
+        if primary not in measurement_names or validation not in measurement_names:
+            errors.append("cross-view measurement source is unknown")
+
+    zero = profile.zero
+    if zero.active_joints & zero.passive_joints:
+        errors.append("active and passive joints must be disjoint")
+    all_joints = zero.active_joints | zero.passive_joints
+    if not zero.active_joints.issubset(command.command_index_by_joint):
+        errors.append("every active joint must bind to a command channel")
+    if not set(zero.direct_zero_joints).issubset(zero.active_joints):
+        errors.append("direct zero targets must be active joints")
+    if not set(zero.axis_joints).issubset(all_joints):
+        errors.append("axis targets must be known joints")
+    if not zero.mechanical_endpoint_joints.issubset(zero.active_joints):
+        errors.append("mechanical endpoint targets must be active joints")
+    if not zero.post_solve_endpoint_joints.issubset(zero.active_joints):
+        errors.append("post-solve endpoint targets must be active joints")
+    if not set(zero.mimic_source_by_joint).issubset(zero.passive_joints):
+        errors.append("mimic targets must be passive joints")
+    if not set(zero.mimic_source_by_joint.values()).issubset(all_joints):
+        errors.append("mimic sources must be known joints")
+    if not set(zero.endpoint_anchor_by_joint).issubset(zero.active_joints):
+        errors.append("endpoint anchors must target active joints")
+    if not set(zero.endpoint_anchor_by_joint.values()).issubset(
+        {
+            "upper_at_end",
+            "lower_at_start",
+            "zero_at_start",
+            "cad_range_center",
+        }
+    ):
+        errors.append("endpoint anchor policy is unsupported")
+    if not zero.fitted_mimic_joints.issubset(zero.passive_joints):
+        errors.append("fitted mimic targets must be passive joints")
+    if not zero.fitted_mimic_joints.issubset(zero.mimic_source_by_joint):
+        errors.append("fitted mimic target has no source mapping")
+    if not set(zero.coupling_model_by_joint).issubset(
+        zero.mimic_source_by_joint
+    ):
+        errors.append("coupling model target has no source mapping")
+    if not set(zero.coupling_model_by_joint.values()).issubset(
+        {"linear_mimic", "quadratic_runtime"}
+    ):
+        errors.append("coupling model policy is unsupported")
+
+    scopes = set(profile.scope.calibrate_joints)
+    if profile.scope.default_scope not in scopes:
+        errors.append("default scope is not declared")
+    if scopes != set(profile.scope.frozen_joints):
+        errors.append("scope calibration and frozen mappings must align")
+    for name in scopes:
+        selected = profile.scope.calibrate_joints[name]
+        frozen = profile.scope.frozen_joints[name]
+        if selected & frozen or selected | frozen != zero.active_joints:
+            errors.append(f"scope {name} must partition all active joints")
+
+    artifacts = profile.artifacts
+    if artifacts.output_schema_version < 1:
+        errors.append("artifact schema version must be positive")
+    for label, filename in (
+        ("calibration", artifacts.calibration_filename),
+        ("corrected URDF", artifacts.corrected_urdf_filename),
+        ("publication pointer", artifacts.publication_pointer),
+    ):
+        if not filename or PurePath(filename).name != filename:
+            errors.append(f"{label} filename must not contain a directory")
+    if not profile.namespace.startswith("/"):
+        errors.append("runtime namespace must be absolute")
+    if profile.joint_coverage:
+        valid_coverage = {
+            "measured_static_dynamic",
+            "measured_dynamic_cad_static",
+            "transferred_static_dynamic",
+            "transferred_dynamic_cad_static",
+            "cad_nominal",
+            "mimic_nominal",
+        }
+        if set(profile.joint_coverage) != all_joints:
+            errors.append("joint coverage must describe every profile joint")
+        if not set(profile.joint_coverage.values()).issubset(valid_coverage):
+            errors.append("joint coverage contains an unsupported status")
+
+    if errors:
+        raise ProfileValidationError("; ".join(errors))

src/linkerhand_calibration/linkerhand_calibration/core/domain/sample.py

@@ -0,0 +1,27 @@
+"""Normalized records shared by online evaluation and offline replay."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import Any, Mapping
+
+
+@dataclass(frozen=True)
+class SampleRecord:
+    task_key: str
+    measurement: str
+    view: str
+    cycle: int
+    direction: str
+    command_u8: int
+    timestamp_ns: int
+    values: Mapping[str, Any]
+    quality: Mapping[str, float] = field(default_factory=dict)
+
+    def __post_init__(self) -> None:
+        if not self.task_key or not self.measurement or not self.view:
+            raise ValueError("sample task, measurement, and view are required")
+        if self.cycle < 0 or not 0 <= self.command_u8 <= 255:
+            raise ValueError("sample cycle or command is out of range")
+        if self.timestamp_ns < 0:
+            raise ValueError("sample timestamp must be non-negative")

src/linkerhand_calibration/linkerhand_calibration/core/domain/task.py

@@ -0,0 +1,19 @@
+"""Shared task direction vocabulary."""
+
+DIRECTION_DECREASING = "decreasing"
+DIRECTION_INCREASING = "increasing"
+DIRECTIONS: tuple[str, ...] = (
+    DIRECTION_DECREASING,
+    DIRECTION_INCREASING,
+)
+
+PHASE_ROOT = "root"
+PHASE_TIP = "tip"
+
+__all__ = [
+    "DIRECTION_DECREASING",
+    "DIRECTION_INCREASING",
+    "DIRECTIONS",
+    "PHASE_ROOT",
+    "PHASE_TIP",
+]

src/linkerhand_calibration/linkerhand_calibration/core/fitting/__init__.py

@@ -0,0 +1,5 @@
+"""Pure curve and axis fitting."""
+
+from .curve import FitResult, isotonic_nonincreasing
+
+__all__ = ["FitResult", "isotonic_nonincreasing"]

src/linkerhand_calibration/linkerhand_calibration/core/fitting/curve.py

@@ -0,0 +1,70 @@
+"""Model-independent curve fitting result and monotonic projection."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import Any, Sequence
+
+import numpy as np
+
+from ..geometry import delta_rotation_vector
+
+
+def isotonic_nonincreasing(values: Sequence[float]) -> np.ndarray:
+    """Unweighted PAVA projection onto non-increasing values."""
+    original = np.asarray(values, dtype=float)
+    if original.ndim != 1 or not np.all(np.isfinite(original)):
+        raise ValueError("values must be a finite vector")
+    negated = -original
+    levels: list[float] = []
+    weights: list[int] = []
+    starts: list[int] = []
+    for index, value in enumerate(negated):
+        levels.append(float(value))
+        weights.append(1)
+        starts.append(index)
+        while len(levels) >= 2 and levels[-2] > levels[-1]:
+            total_weight = weights[-2] + weights[-1]
+            merged = (
+                levels[-2] * weights[-2] + levels[-1] * weights[-1]
+            ) / total_weight
+            levels[-2:] = [merged]
+            weights[-2:] = [total_weight]
+            starts.pop()
+    projected = np.empty_like(original)
+    for block_index, (level, start) in enumerate(zip(levels, starts)):
+        end = (
+            starts[block_index + 1]
+            if block_index + 1 < len(starts)
+            else len(original)
+        )
+        projected[start:end] = -level
+    return projected
+
+
+@dataclass(frozen=True)
+class FitResult:
+    joints: dict[str, dict[str, Any]]
+    axes: dict[str, tuple[float, float, float]]
+    references: dict[str, tuple[float, float, float, float]]
+    ip_coupling: dict[str, float]
+    max_monotonic_correction_rad: float
+    max_hysteresis_rad: float
+    measurement_mode: str = "rotation"
+    trajectory_models: dict[str, Any] = field(default_factory=dict)
+    trajectory_quality: dict[str, Any] = field(default_factory=dict)
+
+    def measure_from_reference(
+        self,
+        joint_name: str,
+        observed_quaternion_xyzw: Sequence[float],
+        reference_quaternion_xyzw: Sequence[float] | None = None,
+    ) -> float:
+        reference = (
+            reference_quaternion_xyzw
+            if reference_quaternion_xyzw is not None
+            else self.references[joint_name]
+        )
+        vector = delta_rotation_vector(reference, observed_quaternion_xyzw)
+        axis = np.asarray(self.axes[joint_name], dtype=float)
+        return float(vector @ axis)

src/linkerhand_calibration/linkerhand_calibration/core/geometry/__init__.py

@@ -0,0 +1,41 @@
+"""Pure geometry used by online and offline calibration."""
+
+from .extrinsics import (
+    CameraCalibrationIdentity,
+    CameraExtrinsics,
+    camera_info_fingerprint,
+    load_camera_extrinsics,
+    matrix_payload,
+    transform_matrix,
+    validate_camera_extrinsics_payload,
+)
+from .rotation import (
+    delta_rotation_vector,
+    fit_rotation_axis,
+    image_plane_tag_quaternion_xyzw,
+    normalize_quaternion_xyzw,
+    relative_quaternion_xyzw,
+    robust_rotation_summary,
+    rotation_inlier_fraction,
+    rotation_rms_rad,
+    rotation_spread_rad,
+)
+
+__all__ = [
+    "CameraCalibrationIdentity",
+    "CameraExtrinsics",
+    "camera_info_fingerprint",
+    "delta_rotation_vector",
+    "fit_rotation_axis",
+    "image_plane_tag_quaternion_xyzw",
+    "load_camera_extrinsics",
+    "matrix_payload",
+    "normalize_quaternion_xyzw",
+    "relative_quaternion_xyzw",
+    "robust_rotation_summary",
+    "rotation_inlier_fraction",
+    "rotation_rms_rad",
+    "rotation_spread_rad",
+    "transform_matrix",
+    "validate_camera_extrinsics_payload",
+]

src/linkerhand_calibration/linkerhand_calibration/core/geometry/extrinsics.py

@@ -13,9 +13,6 @@ import yaml
 from scipy.spatial.transform import Rotation
 
 
-VIEWS: tuple[str, ...] = ("front", "side", "top")
-
-
 def camera_info_fingerprint(
     *,
     width: int,
@@ -81,66 +78,61 @@ class CameraCalibrationIdentity:
 
 
 @dataclass(frozen=True)
-class ThreeCameraExtrinsics:
-    """Transforms points from each camera optical frame into front optical."""
+class CameraExtrinsics:
+    """Transforms every declared camera into one Profile-selected reference."""
 
     cameras: Mapping[str, CameraCalibrationIdentity]
-    front_from_view: Mapping[str, np.ndarray]
+    reference_view: str
+    reference_from_view: Mapping[str, np.ndarray]
     quality: Mapping[str, float]
 
     def transform(self, view: str) -> np.ndarray:
-        if view not in self.front_from_view:
+        if view not in self.reference_from_view:
             raise KeyError(f"extrinsics do not contain view {view}")
-        return np.asarray(self.front_from_view[view], dtype=float).copy()
-
-    def camera_matches(
-        self,
-        view: str,
-        *,
-        serial_number: str,
-        width: int,
-        height: int,
-        intrinsics_sha256: str,
-    ) -> bool:
-        expected = self.cameras.get(view)
-        return bool(
-            expected is not None
-            and expected.serial_number == str(serial_number)
-            and expected.width == int(width)
-            and expected.height == int(height)
-            and expected.intrinsics_sha256 == str(intrinsics_sha256)
-        )
+        return np.asarray(self.reference_from_view[view], dtype=float).copy()
 
 
-def validate_extrinsics_payload(payload: Mapping[str, Any]) -> None:
+def validate_camera_extrinsics_payload(
+    payload: Mapping[str, Any],
+    *,
+    required_views: Sequence[str],
+    reference_view: str,
+    quality_limits: Mapping[str, float] | None = None,
+    minimum_capture_counts: Mapping[str, int] | None = None,
+) -> None:
     if int(payload.get("schema_version", -1)) != 1:
         raise ValueError("camera extrinsics schema_version must be 1")
-    if payload.get("reference_view") != "front":
-        raise ValueError("camera extrinsics reference_view must be front")
+    reference = str(reference_view)
+    if payload.get("reference_view") != reference:
+        raise ValueError(
+            "camera extrinsics reference_view differs from the Profile"
+        )
     cameras = payload.get("cameras")
-    transforms = payload.get("front_from_view")
+    transforms = payload.get(f"{reference}_from_view")
     quality = payload.get("quality")
-    if not isinstance(cameras, Mapping) or set(cameras) != set(VIEWS):
-        raise ValueError("camera extrinsics must contain front/side/top cameras")
-    if not isinstance(transforms, Mapping) or set(transforms) != set(VIEWS):
-        raise ValueError("camera extrinsics must contain all three transforms")
+    views = tuple(str(view) for view in required_views)
+    if not views or len(set(views)) != len(views):
+        raise ValueError("required extrinsic views must be non-empty and unique")
+    if reference not in views:
+        raise ValueError("extrinsic reference view is not required")
+    if not isinstance(cameras, Mapping) or set(cameras) != set(views):
+        raise ValueError("camera extrinsics differ from the Profile views")
+    if not isinstance(transforms, Mapping) or set(transforms) != set(views):
+        raise ValueError("camera transforms differ from the Profile views")
     if not isinstance(quality, Mapping) or not bool(quality.get("passed")):
         raise ValueError("camera extrinsics quality is not passed")
-    quality_limits = {
-        "reprojection_rms_px": 1.2,
-        "maximum_rotation_repeatability_deg": 0.3,
-        "maximum_translation_repeatability_m": 0.0015,
-    }
-    for key, limit in quality_limits.items():
+    for key, limit in dict(quality_limits or {}).items():
         value = float(quality.get(key, float("inf")))
         if not np.isfinite(value) or value > limit:
             raise ValueError(
                 f"camera extrinsics {key}={value} exceeds {limit}"
             )
-    for key in ("front_side_captures", "front_top_captures"):
-        if int(quality.get(key, 0)) < 15:
-            raise ValueError(f"camera extrinsics {key} must be at least 15")
-    for view in VIEWS:
+    for key, minimum in dict(minimum_capture_counts or {}).items():
+        if int(quality.get(key, 0)) < int(minimum):
+            raise ValueError(
+                f"camera extrinsics {key} must be at least {minimum}"
+            )
+    for view in views:
         identity = cameras[view]
         if not isinstance(identity, Mapping):
             raise ValueError(f"{view} camera identity must be an object")
@@ -158,14 +150,23 @@ def validate_extrinsics_payload(payload: Mapping[str, Any]) -> None:
             transform.get("translation_xyz_m", ()),
             transform.get("quaternion_xyzw", ()),
         )
-        if view == "front" and not np.allclose(matrix, np.eye(4), atol=1.0e-9):
-            raise ValueError("front_from_view.front must be identity")
-    serials = [str(cameras[view]["serial_number"]) for view in VIEWS]
-    if len(set(serials)) != len(VIEWS):
+        if view == reference and not np.allclose(
+            matrix, np.eye(4), atol=1.0e-9
+        ):
+            raise ValueError("reference-view transform must be identity")
+    serials = [str(cameras[view]["serial_number"]) for view in views]
+    if len(set(serials)) != len(views):
         raise ValueError("camera extrinsics serial numbers must be unique")
 
 
-def load_three_camera_extrinsics(path: str | Path) -> ThreeCameraExtrinsics:
+def load_camera_extrinsics(
+    path: str | Path,
+    *,
+    required_views: Sequence[str],
+    reference_view: str,
+    quality_limits: Mapping[str, float] | None = None,
+    minimum_capture_counts: Mapping[str, int] | None = None,
+) -> CameraExtrinsics:
     source = Path(path).expanduser().resolve()
     if not source.is_file():
         raise ValueError(f"camera extrinsics file does not exist: {source}")
@@ -173,7 +174,15 @@ def load_three_camera_extrinsics(path: str | Path) -> ThreeCameraExtrinsics:
         payload = yaml.safe_load(stream)
     if not isinstance(payload, Mapping):
         raise ValueError("camera extrinsics file must contain an object")
-    validate_extrinsics_payload(payload)
+    validate_camera_extrinsics_payload(
+        payload,
+        required_views=required_views,
+        reference_view=reference_view,
+        quality_limits=quality_limits,
+        minimum_capture_counts=minimum_capture_counts,
+    )
+    views = tuple(str(view) for view in required_views)
+    transform_key = f"{reference_view}_from_view"
     cameras = {
         view: CameraCalibrationIdentity(
             serial_number=str(payload["cameras"][view]["serial_number"]),
@@ -183,45 +192,21 @@ def load_three_camera_extrinsics(path: str | Path) -> ThreeCameraExtrinsics:
                 payload["cameras"][view]["intrinsics_sha256"]
             ),
         )
-        for view in VIEWS
+        for view in views
     }
     transforms = {
         view: transform_matrix(
-            payload["front_from_view"][view]["translation_xyz_m"],
-            payload["front_from_view"][view]["quaternion_xyzw"],
+            payload[transform_key][view]["translation_xyz_m"],
+            payload[transform_key][view]["quaternion_xyzw"],
         )
-        for view in VIEWS
+        for view in views
     }
-    return ThreeCameraExtrinsics(
+    return CameraExtrinsics(
         cameras=cameras,
-        front_from_view=transforms,
+        reference_view=str(reference_view),
+        reference_from_view=transforms,
         quality={
             str(key): float(value) if isinstance(value, (int, float)) else value
             for key, value in payload["quality"].items()
         },
     )
-
-
-def dump_three_camera_extrinsics(
-    path: str | Path,
-    *,
-    cameras: Mapping[str, Mapping[str, Any]],
-    front_from_view: Mapping[str, Sequence[Sequence[float]]],
-    quality: Mapping[str, Any],
-) -> None:
-    payload = {
-        "schema_version": 1,
-        "reference_view": "front",
-        "cameras": {view: dict(cameras[view]) for view in VIEWS},
-        "front_from_view": {
-            view: matrix_payload(front_from_view[view]) for view in VIEWS
-        },
-        "quality": dict(quality),
-    }
-    validate_extrinsics_payload(payload)
-    destination = Path(path).expanduser().resolve()
-    destination.parent.mkdir(parents=True, exist_ok=True)
-    temporary = destination.with_suffix(destination.suffix + ".tmp")
-    with temporary.open("w", encoding="utf-8") as stream:
-        yaml.safe_dump(payload, stream, allow_unicode=True, sort_keys=False)
-    temporary.replace(destination)

src/linkerhand_calibration/linkerhand_calibration/core/geometry/rotation.py

@@ -0,0 +1,157 @@
+"""Pure quaternion summaries and rotation-axis fitting."""
+
+from __future__ import annotations
+
+import math
+from typing import Sequence
+
+import numpy as np
+from scipy.spatial.transform import Rotation
+
+
+def normalize_quaternion_xyzw(values: Sequence[float]) -> np.ndarray:
+    quaternion = np.asarray(values, dtype=float)
+    if quaternion.shape != (4,) or not np.all(np.isfinite(quaternion)):
+        raise ValueError("quaternion must contain four finite xyzw values")
+    norm = float(np.linalg.norm(quaternion))
+    if norm < 1e-12:
+        raise ValueError("quaternion norm is zero")
+    return quaternion / norm
+
+
+def relative_quaternion_xyzw(
+    parent_camera_quaternion: Sequence[float],
+    child_camera_quaternion: Sequence[float],
+) -> tuple[float, float, float, float]:
+    """Compute parent-to-child orientation from two camera-to-Tag rotations."""
+    parent = Rotation.from_quat(
+        normalize_quaternion_xyzw(parent_camera_quaternion)
+    )
+    child = Rotation.from_quat(
+        normalize_quaternion_xyzw(child_camera_quaternion)
+    )
+    quaternion = (parent.inv() * child).as_quat()
+    return tuple(float(value) for value in quaternion)
+
+
+def image_plane_tag_quaternion_xyzw(
+    corners_xy: Sequence[Sequence[float]],
+) -> tuple[float, float, float, float]:
+    """Estimate Tag orientation about the optical axis from ordered corners."""
+    corners = np.asarray(corners_xy, dtype=float)
+    if corners.shape != (4, 2) or not np.all(np.isfinite(corners)):
+        raise ValueError("corners_xy must contain four finite xy points")
+    x_axis = (corners[1] - corners[0]) + (corners[2] - corners[3])
+    if float(np.linalg.norm(x_axis)) < 1e-9:
+        raise ValueError("tag x-axis is degenerate")
+    angle = -math.atan2(float(x_axis[1]), float(x_axis[0]))
+    quaternion = Rotation.from_rotvec([0.0, 0.0, angle]).as_quat()
+    return tuple(float(value) for value in quaternion)
+
+
+def robust_rotation_summary(
+    quaternions_xyzw: Sequence[Sequence[float]],
+) -> tuple[tuple[float, float, float, float], float]:
+    """Return a robust orientation and maximum angular residual in radians."""
+    if not quaternions_xyzw:
+        raise ValueError("at least one quaternion is required")
+    rotations = Rotation.from_quat(
+        np.asarray(
+            [normalize_quaternion_xyzw(value) for value in quaternions_xyzw],
+            dtype=float,
+        )
+    )
+    reference = rotations[0]
+    delta_vectors = (reference.inv() * rotations).as_rotvec()
+    median_delta = np.median(delta_vectors, axis=0)
+    robust = reference * Rotation.from_rotvec(median_delta)
+    residuals = (robust.inv() * rotations).magnitude()
+    maximum = float(np.max(residuals)) if residuals.size else 0.0
+    return tuple(float(value) for value in robust.as_quat()), maximum
+
+
+def rotation_spread_rad(
+    quaternions_xyzw: Sequence[Sequence[float]],
+) -> float:
+    """Return the maximum geodesic residual around a robust orientation."""
+    _, spread = robust_rotation_summary(quaternions_xyzw)
+    return spread
+
+
+def rotation_rms_rad(
+    quaternions_xyzw: Sequence[Sequence[float]],
+    *,
+    outlier_threshold_rad: float | None = None,
+) -> float:
+    """Return RMS geodesic noise around a robust orientation."""
+    robust, _ = robust_rotation_summary(quaternions_xyzw)
+    reference = Rotation.from_quat(robust)
+    rotations = Rotation.from_quat(
+        np.asarray(
+            [normalize_quaternion_xyzw(value) for value in quaternions_xyzw],
+            dtype=float,
+        )
+    )
+    residuals = (reference.inv() * rotations).magnitude()
+    if outlier_threshold_rad is not None:
+        threshold = float(outlier_threshold_rad)
+        if threshold <= 0.0:
+            raise ValueError("outlier_threshold_rad must be positive")
+        residuals = residuals[residuals <= threshold]
+        if residuals.size == 0:
+            return float("inf")
+    return float(np.sqrt(np.mean(np.square(residuals))))
+
+
+def rotation_inlier_fraction(
+    quaternions_xyzw: Sequence[Sequence[float]],
+    *,
+    outlier_threshold_rad: float,
+) -> float:
+    """Return the fraction close to the robust orientation."""
+    threshold = float(outlier_threshold_rad)
+    if threshold <= 0.0:
+        raise ValueError("outlier_threshold_rad must be positive")
+    robust, _ = robust_rotation_summary(quaternions_xyzw)
+    reference = Rotation.from_quat(robust)
+    rotations = Rotation.from_quat(
+        np.asarray(
+            [normalize_quaternion_xyzw(value) for value in quaternions_xyzw],
+            dtype=float,
+        )
+    )
+    residuals = (reference.inv() * rotations).magnitude()
+    return float(np.mean(residuals <= threshold))
+
+
+def delta_rotation_vector(
+    reference_xyzw: Sequence[float],
+    observed_xyzw: Sequence[float],
+) -> np.ndarray:
+    reference = Rotation.from_quat(normalize_quaternion_xyzw(reference_xyzw))
+    observed = Rotation.from_quat(normalize_quaternion_xyzw(observed_xyzw))
+    return (reference.inv() * observed).as_rotvec()
+
+
+def fit_rotation_axis(
+    vectors: Sequence[Sequence[float]],
+    commands: Sequence[int],
+) -> np.ndarray:
+    """Fit and orient the single rotational axis used by one command sweep."""
+    matrix = np.asarray(vectors, dtype=float)
+    command_values = np.asarray(commands, dtype=int)
+    if matrix.ndim != 2 or matrix.shape[1] != 3:
+        raise ValueError("vectors must have shape (N, 3)")
+    if command_values.shape != (matrix.shape[0],):
+        raise ValueError("commands must match vectors")
+    useful = np.linalg.norm(matrix, axis=1) > 1e-6
+    if int(np.count_nonzero(useful)) < 3:
+        raise ValueError("insufficient non-zero rotations to fit an axis")
+    _, _, vh = np.linalg.svd(matrix[useful], full_matrices=False)
+    axis = vh[0]
+    projections = matrix @ axis
+    low = projections[command_values <= 16]
+    high = projections[command_values >= 239]
+    if low.size and high.size and float(np.median(low)) < float(np.median(high)):
+        axis = -axis
+    return axis / np.linalg.norm(axis)

src/linkerhand_calibration/linkerhand_calibration/core/solver/__init__.py

@@ -0,0 +1,15 @@
+"""Task acceptance and final-session solver contracts."""
+
+from .interfaces import (
+    SessionSolution,
+    SessionSolver,
+    TaskEvaluation,
+    TaskEvaluator,
+)
+
+__all__ = [
+    "SessionSolution",
+    "SessionSolver",
+    "TaskEvaluation",
+    "TaskEvaluator",
+]

src/linkerhand_calibration/linkerhand_calibration/core/solver/interfaces.py

@@ -0,0 +1,42 @@
+"""Shared evaluator and final-solver interfaces."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import Any, Mapping, Protocol, Sequence
+
+from ..domain import CalibrationProfile, SampleRecord, TaskSpec
+
+
+@dataclass(frozen=True)
+class TaskEvaluation:
+    accepted: bool
+    failures: tuple[Mapping[str, Any], ...] = ()
+    rescan_measurements: frozenset[str] = frozenset()
+    rescan_cycles: frozenset[int] = frozenset()
+
+
+@dataclass(frozen=True)
+class SessionSolution:
+    passed: bool
+    calibration: Mapping[str, Any]
+    zero_offsets_rad: Mapping[str, float]
+    failures: tuple[Mapping[str, Any], ...] = ()
+    diagnostics: Mapping[str, Any] = field(default_factory=dict)
+
+
+class TaskEvaluator(Protocol):
+    def evaluate_task(
+        self,
+        profile: CalibrationProfile,
+        task: TaskSpec,
+        samples: Sequence[SampleRecord],
+    ) -> TaskEvaluation: ...
+
+
+class SessionSolver(Protocol):
+    def solve_session(
+        self,
+        profile: CalibrationProfile,
+        samples: Sequence[SampleRecord],
+    ) -> SessionSolution: ...

src/linkerhand_calibration/linkerhand_calibration/core/urdf/__init__.py

@@ -0,0 +1,5 @@
+"""URDF correction authorization and validation types."""
+
+from .plan import UrdfCorrectionPlan, build_correction_plan
+
+__all__ = ["UrdfCorrectionPlan", "build_correction_plan"]

src/linkerhand_calibration/linkerhand_calibration/core/urdf/plan.py

@@ -0,0 +1,104 @@
+"""One authorization plan shared by URDF writers and validators."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+import hashlib
+from pathlib import Path
+from typing import Mapping
+
+from ..domain import CalibrationProfile
+
+
+@dataclass(frozen=True)
+class UrdfCorrectionPlan:
+    source_sha256: str
+    allowed_active_joints: frozenset[str]
+    endpoint_limit_joints: frozenset[str]
+    mimic_source_by_joint: Mapping[str, str]
+    frozen_joints: frozenset[str]
+    frozen_offsets_rad: Mapping[str, float] = field(default_factory=dict)
+    forbid_calibrated_source: bool = True
+    forbid_overwrite: bool = True
+    preserve_passive_joints: bool = True
+
+    def __post_init__(self) -> None:
+        if len(self.source_sha256) != 64 or any(
+            character not in "0123456789abcdef"
+            for character in self.source_sha256.lower()
+        ):
+            raise ValueError("source URDF SHA-256 is invalid")
+        if self.allowed_active_joints & self.frozen_joints:
+            raise ValueError("allowed and frozen URDF joints overlap")
+        applied = self.allowed_active_joints | set(self.frozen_offsets_rad)
+        if not set(self.frozen_offsets_rad).issubset(self.frozen_joints):
+            raise ValueError("frozen offsets must belong to frozen joints")
+        if not self.endpoint_limit_joints.issubset(applied):
+            raise ValueError("endpoint limit joint is not an applied active joint")
+        if set(self.mimic_source_by_joint) & self.allowed_active_joints:
+            raise ValueError("dependent mimic joints cannot be active edit targets")
+
+    def authorize_offsets(self, offsets_rad: Mapping[str, float]) -> None:
+        required = self.allowed_active_joints | set(self.frozen_offsets_rad)
+        unexpected = set(offsets_rad) - required
+        if unexpected:
+            raise ValueError(
+                "URDF correction contains unauthorized joints: "
+                + ", ".join(sorted(unexpected))
+            )
+        missing = required - set(offsets_rad)
+        if missing:
+            raise ValueError(
+                "URDF correction is missing active joints: "
+                + ", ".join(sorted(missing))
+            )
+        changed_frozen = {
+            name
+            for name, expected in self.frozen_offsets_rad.items()
+            if abs(float(offsets_rad[name]) - float(expected)) > 1.0e-12
+        }
+        if changed_frozen:
+            raise ValueError(
+                "URDF correction changed frozen offsets: "
+                + ", ".join(sorted(changed_frozen))
+            )
+
+    def verify_source(self, source_urdf: str | Path) -> None:
+        digest = hashlib.sha256(Path(source_urdf).read_bytes()).hexdigest()
+        if digest != self.source_sha256.lower():
+            raise ValueError("source URDF SHA-256 differs from correction plan")
+
+
+def build_correction_plan(
+    profile: CalibrationProfile,
+    *,
+    source_sha256: str,
+    scope: str,
+    frozen_offsets_rad: Mapping[str, float] | None = None,
+) -> UrdfCorrectionPlan:
+    """Build one scope-aware edit authorization from typed policies."""
+    selected = profile.scope.selected_joints(scope)
+    frozen = profile.scope.frozen_joints[str(scope)]
+    expected_frozen = {
+        str(name): float(value)
+        for name, value in dict(frozen_offsets_rad or {}).items()
+    }
+    if set(expected_frozen) != set(frozen):
+        missing = set(frozen) - set(expected_frozen)
+        extra = set(expected_frozen) - set(frozen)
+        raise ValueError(
+            "frozen URDF offset state differs from scope policy: "
+            f"missing={','.join(sorted(missing)) or '-'};"
+            f"extra={','.join(sorted(extra)) or '-'}"
+        )
+    applied = selected | frozen
+    return UrdfCorrectionPlan(
+        source_sha256=source_sha256,
+        allowed_active_joints=selected,
+        endpoint_limit_joints=(
+            profile.zero.mechanical_endpoint_joints & applied
+        ),
+        mimic_source_by_joint=profile.zero.mimic_source_by_joint,
+        frozen_joints=frozen | profile.zero.cad_frozen_joints,
+        frozen_offsets_rad=expected_frozen,
+    )

src/linkerhand_calibration/linkerhand_calibration/extrinsics.py

@@ -0,0 +1,130 @@
+"""Three-view compatibility policy over generic camera extrinsics."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Any, Mapping, Sequence
+
+import numpy as np
+import yaml
+
+from .core.geometry.extrinsics import (
+    CameraCalibrationIdentity,
+    CameraExtrinsics,
+    camera_info_fingerprint,
+    load_camera_extrinsics,
+    matrix_payload,
+    transform_matrix,
+    validate_camera_extrinsics_payload,
+)
+
+
+VIEWS: tuple[str, ...] = ("front", "side", "top")
+_QUALITY_LIMITS = {
+    "reprojection_rms_px": 1.2,
+    "maximum_rotation_repeatability_deg": 0.3,
+    "maximum_translation_repeatability_m": 0.0015,
+}
+_MINIMUM_CAPTURE_COUNTS = {
+    "front_side_captures": 15,
+    "front_top_captures": 15,
+}
+
+
+@dataclass(frozen=True)
+class ThreeCameraExtrinsics:
+    """Transforms points from each camera optical frame into front optical."""
+
+    cameras: Mapping[str, CameraCalibrationIdentity]
+    front_from_view: Mapping[str, np.ndarray]
+    quality: Mapping[str, float]
+
+    def transform(self, view: str) -> np.ndarray:
+        if view not in self.front_from_view:
+            raise KeyError(f"extrinsics do not contain view {view}")
+        return np.asarray(self.front_from_view[view], dtype=float).copy()
+
+    def camera_matches(
+        self,
+        view: str,
+        *,
+        serial_number: str,
+        width: int,
+        height: int,
+        intrinsics_sha256: str,
+    ) -> bool:
+        expected = self.cameras.get(view)
+        return bool(
+            expected is not None
+            and expected.serial_number == str(serial_number)
+            and expected.width == int(width)
+            and expected.height == int(height)
+            and expected.intrinsics_sha256 == str(intrinsics_sha256)
+        )
+
+
+def validate_extrinsics_payload(payload: Mapping[str, Any]) -> None:
+    validate_camera_extrinsics_payload(
+        payload,
+        required_views=VIEWS,
+        reference_view="front",
+        quality_limits=_QUALITY_LIMITS,
+        minimum_capture_counts=_MINIMUM_CAPTURE_COUNTS,
+    )
+
+
+def load_three_camera_extrinsics(path: str | Path) -> ThreeCameraExtrinsics:
+    generic = load_camera_extrinsics(
+        path,
+        required_views=VIEWS,
+        reference_view="front",
+        quality_limits=_QUALITY_LIMITS,
+        minimum_capture_counts=_MINIMUM_CAPTURE_COUNTS,
+    )
+    return ThreeCameraExtrinsics(
+        cameras=generic.cameras,
+        front_from_view=generic.reference_from_view,
+        quality=generic.quality,
+    )
+
+
+def dump_three_camera_extrinsics(
+    path: str | Path,
+    *,
+    cameras: Mapping[str, Mapping[str, Any]],
+    front_from_view: Mapping[str, Sequence[Sequence[float]]],
+    quality: Mapping[str, Any],
+) -> None:
+    payload = {
+        "schema_version": 1,
+        "reference_view": "front",
+        "cameras": {view: dict(cameras[view]) for view in VIEWS},
+        "front_from_view": {
+            view: matrix_payload(front_from_view[view]) for view in VIEWS
+        },
+        "quality": dict(quality),
+    }
+    validate_extrinsics_payload(payload)
+    destination = Path(path).expanduser().resolve()
+    destination.parent.mkdir(parents=True, exist_ok=True)
+    temporary = destination.with_suffix(destination.suffix + ".tmp")
+    with temporary.open("w", encoding="utf-8") as stream:
+        yaml.safe_dump(payload, stream, allow_unicode=True, sort_keys=False)
+    temporary.replace(destination)
+
+
+__all__ = [
+    "CameraCalibrationIdentity",
+    "CameraExtrinsics",
+    "ThreeCameraExtrinsics",
+    "VIEWS",
+    "camera_info_fingerprint",
+    "dump_three_camera_extrinsics",
+    "load_camera_extrinsics",
+    "load_three_camera_extrinsics",
+    "matrix_payload",
+    "transform_matrix",
+    "validate_camera_extrinsics_payload",
+    "validate_extrinsics_payload",
+]

src/linkerhand_calibration/linkerhand_calibration/full_hand.py

@@ -0,0 +1,7 @@
+"""One-release module alias for the relocated model profile implementation."""
+
+import sys
+
+from .models.g20 import profile as _implementation
+
+sys.modules[__name__] = _implementation

src/linkerhand_calibration/linkerhand_calibration/hikrobot_camera.py

@@ -203,7 +203,7 @@ def configure_fastdds_large_image_transport() -> Path:
     from ament_index_python.packages import get_package_share_directory
 
     profile = (
-        Path(get_package_share_directory("g20_thumb_apriltag_calibration"))
+        Path(get_package_share_directory("linkerhand_calibration"))
         / "config"
         / "fastdds_large_images.xml"
     )

src/linkerhand_calibration/linkerhand_calibration/models/__init__.py

@@ -0,0 +1,15 @@
+"""Model- and side-specific calibration policies."""
+
+from .registry import (
+    EngineBindings,
+    ProfileRegistry,
+    RegisteredProfile,
+    get_default_registry,
+)
+
+__all__ = [
+    "EngineBindings",
+    "ProfileRegistry",
+    "RegisteredProfile",
+    "get_default_registry",
+]

src/linkerhand_calibration/linkerhand_calibration/models/g20/__init__.py

@@ -0,0 +1,15 @@
+"""Registered profiles for this hand family."""
+
+from ..registry import ProfileRegistry
+
+
+def register_profiles(registry: ProfileRegistry) -> None:
+    from .legacy_11 import build_left_profile, build_right_profile
+    from .right_19 import build_profile
+
+    registry.register(build_profile())
+    registry.register(build_left_profile())
+    registry.register(build_right_profile())
+
+
+__all__ = ["register_profiles"]

src/linkerhand_calibration/linkerhand_calibration/models/g20/_adapter.py

@@ -0,0 +1,219 @@
+"""Adapt reviewed family profiles to the shared typed contract."""
+
+from __future__ import annotations
+
+from ...core import (
+    CalibrationProfile,
+    CommandLayout,
+    MeasurementPolicy,
+    MeasurementSpec,
+    MotionPolicy,
+    ProfileKey,
+    QualityPolicy,
+    ScopePolicy,
+    TagSpec,
+    TaskSpec,
+    ViewSpec,
+    VisionRigSpec,
+    ZeroSolvePolicy,
+)
+from .profile import MIMIC_DERIVED_FINGER_DIPS
+from ..registry import EngineBindings, RegisteredProfile
+from .artifacts import build_artifact_policy
+from .motion import (
+    build_calibration_motion_command,
+    build_calibration_preparation_waypoints,
+    build_calibration_return_waypoints,
+)
+
+
+_HARD_THRESHOLD_KEYS = frozenset(
+    {
+        "minimum_detection_rate",
+        "maximum_reprojection_error_px",
+        "maximum_axis_cycle_difference_rad",
+        "maximum_pose_line_rms_m",
+        "maximum_hysteresis_rad",
+        "maximum_validation_error_rad",
+    }
+)
+
+
+def _run_cli(args: list[str] | None = None) -> None:
+    from .runner import main
+
+    main(args)
+
+
+def _run_node(args: list[str] | None = None) -> None:
+    from .node import main
+
+    main(args)
+
+
+def adapt_profile(
+    *,
+    key: ProfileKey,
+    namespace: str,
+    hand_profile,
+    zero_profile,
+    mechanical_endpoint_joints: frozenset[str] = frozenset(),
+    post_solve_endpoint_joints: frozenset[str] = frozenset(),
+) -> RegisteredProfile:
+    fixed_by_view = {
+        view: frozenset(roles)
+        for view, roles in hand_profile.preflight_view_roles.items()
+    }
+    views = tuple(
+        ViewSpec(
+            name=view,
+            tags=tuple(
+                TagSpec(
+                    role=role,
+                    tag_id=int(tag_id),
+                    fixed_reference=role in fixed_by_view.get(view, frozenset()),
+                )
+                for role, tag_id in roles.items()
+            ),
+        )
+        for view, roles in hand_profile.view_tags.items()
+    )
+    record_specs = hand_profile.record_specs
+    command_index_by_joint = {
+        name: int(spec.motor_index) for name, spec in record_specs.items()
+    }
+    command_index_by_joint.update(
+        {
+            name: int(spec.motor_index)
+            for name, spec in hand_profile.joint_specs.items()
+        }
+    )
+    measurements = {
+        name: MeasurementSpec(
+            joint=name,
+            kind=str(spec.zero_kind or "curve"),
+            view=spec.view,
+            parent_role=spec.parent_role,
+            child_role=spec.child_role,
+            validation_source=(hand_profile.axis_validation_sources or {}).get(
+                name
+            ),
+            pose_axis_line_required=bool(
+                spec.pose_axis_line_required
+            ),
+        )
+        for name, spec in record_specs.items()
+    }
+    tasks = tuple(
+        TaskSpec(
+            key=spec.key,
+            view=spec.view,
+            command_index=int(spec.motor_index),
+            joints=tuple(spec.joints),
+            auxiliary_commands=tuple(spec.auxiliary_commands),
+            validation_only=bool(spec.validation_only),
+        )
+        for spec in hand_profile.sweep_specs
+    )
+    active = frozenset(hand_profile.active_joints)
+    passive = frozenset(hand_profile.passive_joints)
+    thumb = frozenset(name for name in active if name.startswith("thumb_"))
+    fingers = active - thumb
+    typed = CalibrationProfile(
+        key=key,
+        namespace=namespace,
+        command=CommandLayout(
+            names=tuple(hand_profile.command_names),
+            baseline_u8=tuple(int(value) for value in hand_profile.baseline_command),
+            command_index_by_joint=command_index_by_joint,
+            disabled_indices=frozenset(
+                index
+                for index, name in enumerate(hand_profile.command_names)
+                if name.startswith("reserved_")
+            ),
+        ),
+        vision=VisionRigSpec(
+            views=views,
+            common_frame="calibration_common",
+            extrinsic_reference_view=views[0].name,
+            extrinsics_quality_limits={
+                "reprojection_rms_px": 1.2,
+                "maximum_rotation_repeatability_deg": 0.3,
+                "maximum_translation_repeatability_m": 0.0015,
+            },
+            minimum_capture_counts={
+                "front_side_captures": 15,
+                "front_top_captures": 15,
+            },
+        ),
+        motion=MotionPolicy(
+            tasks=tasks,
+            precheck_sweeps=bool(hand_profile.precheck_sweeps),
+            steady_command_checkpoints=bool(
+                hand_profile.steady_command_checkpoints
+            ),
+        ),
+        measurement=MeasurementPolicy(
+            measurements=measurements,
+            cross_view_sources=dict(
+                hand_profile.axis_validation_sources or {}
+            ),
+            image_curve_joints=frozenset(
+                hand_profile.image_trajectory_joints
+            ),
+            directional_zero=bool(hand_profile.directional_zero),
+            cross_view_roll_curve=bool(hand_profile.cross_view_roll_curve),
+            stable_cross_view_cone_bias=bool(
+                hand_profile.stable_cross_view_cone_bias
+            ),
+        ),
+        zero=ZeroSolvePolicy(
+            active_joints=active,
+            passive_joints=passive,
+            direct_zero_joints=tuple(zero_profile.direct_zero_joints),
+            axis_joints=tuple(zero_profile.axis_joints),
+            mechanical_endpoint_joints=mechanical_endpoint_joints,
+            post_solve_endpoint_joints=post_solve_endpoint_joints,
+            mimic_source_by_joint={
+                target: source
+                for target, source in MIMIC_DERIVED_FINGER_DIPS.items()
+                if target in passive and source in active
+            },
+            cad_frozen_joints=frozenset(
+                passive - set(zero_profile.static_output_zero_offsets_rad)
+            ),
+        ),
+        quality=QualityPolicy(
+            training_cycles=(0, 1, 2),
+            holdout_cycle=3 if key.layout != "legacy_11" else None,
+            hard_threshold_keys=_HARD_THRESHOLD_KEYS,
+            isolated_holdout=bool(hand_profile.isolated_holdout),
+        ),
+        scope=ScopePolicy(
+            calibrate_joints={
+                "full": active,
+                "thumb": thumb,
+                "fingers": fingers,
+            },
+            frozen_joints={
+                "full": frozenset(),
+                "thumb": fingers,
+                "fingers": thumb,
+            },
+        ),
+        artifacts=build_artifact_policy(
+            frozenset(hand_profile.capabilities)
+        ),
+    )
+    return RegisteredProfile(
+        profile=typed,
+        engine=EngineBindings(
+            hand_profile=hand_profile,
+            zero_profile=zero_profile,
+            motion_command=build_calibration_motion_command,
+            preparation_waypoints=build_calibration_preparation_waypoints,
+            return_waypoints=build_calibration_return_waypoints,
+            cli_main=_run_cli,
+            node_main=_run_node,
+        ),
+    )

src/linkerhand_calibration/linkerhand_calibration/models/g20/artifacts.py

@@ -0,0 +1,30 @@
+"""Runtime JSON and corrected-URDF naming policy."""
+
+from ...core import ArtifactPolicy
+
+
+def build_artifact_policy(
+    compatibility_tokens: frozenset[str],
+) -> ArtifactPolicy:
+    return ArtifactPolicy(
+        output_schema_version=4,
+        calibration_filename="g20_{side}_{serial_number}_calibration.json",
+        corrected_urdf_filename=(
+            "linkerhand_g20_{side}_{serial_number}_zero_calibrated.urdf"
+        ),
+        protected_input_fields=frozenset(
+            {
+                "source_urdf_sha256",
+                "camera_extrinsics_sha256",
+                "calibration_config_sha256",
+                "tag_config_sha256",
+            }
+        ),
+        session_compatibility_tokens=frozenset(compatibility_tokens),
+        publish_corrected_urdf=(
+            "urdf_zero_publication" in compatibility_tokens
+        ),
+    )
+
+
+__all__ = ["build_artifact_policy"]

src/linkerhand_calibration/linkerhand_calibration/models/g20/command_layout.py

@@ -0,0 +1,26 @@
+"""Reviewed command-channel layouts for this hand family."""
+
+G20_COMMAND_NAMES: tuple[str, ...] = (
+    "thumb_cmc_pitch",
+    "index_mcp_pitch",
+    "middle_mcp_pitch",
+    "ring_mcp_pitch",
+    "pinky_mcp_pitch",
+    "thumb_cmc_roll",
+    "index_mcp_roll",
+    "middle_mcp_roll",
+    "ring_mcp_roll",
+    "pinky_mcp_roll",
+    "thumb_cmc_yaw",
+    "reserved_11",
+    "reserved_12",
+    "reserved_13",
+    "reserved_14",
+    "thumb_mcp",
+    "index_pip",
+    "middle_pip",
+    "ring_pip",
+    "pinky_pip",
+)
+
+__all__ = ["G20_COMMAND_NAMES"]

src/linkerhand_calibration/linkerhand_calibration/models/g20/golden_regression.py

@@ -0,0 +1,144 @@
+"""Read-only regression checks for the reviewed hardware sessions."""
+
+from __future__ import annotations
+
+import argparse
+import hashlib
+import json
+from pathlib import Path
+from typing import Any
+
+_PASS_SESSIONS = {
+    "20260830_181154": "full",
+    "20260831_141123": "thumb",
+    "20260831_163843": "thumb",
+}
+_FAIL_SESSIONS = {
+    "20260831_111837": ("FIT-MODEL-401", "joint_fit_check_failed"),
+    "20260831_142322": ("VAL-QUALITY-501", "zero_model_validation_failed"),
+}
+
+
+def _sha256_file(path: Path) -> str:
+    digest = hashlib.sha256()
+    with path.open("rb") as stream:
+        for chunk in iter(lambda: stream.read(1024 * 1024), b""):
+            digest.update(chunk)
+    return digest.hexdigest()
+
+
+def _summary(session: Path) -> dict[str, Any]:
+    value = json.loads(
+        (session / "calibration_summary_zh.json").read_text(encoding="utf-8")
+    )
+    if not isinstance(value, dict):
+        raise ValueError(f"invalid golden summary: {session}")
+    return value
+
+
+def validate_golden_sessions(
+    serial_root: str | Path,
+    *,
+    replay_full_session: bool = True,
+) -> dict[str, Any]:
+    """Prove PASS/FAIL, hashes, partial freezes, and failure non-publication."""
+    root = Path(serial_root).expanduser().resolve()
+    results: dict[str, Any] = {}
+    for session_id, scope in _PASS_SESSIONS.items():
+        session = root / session_id
+        summary = _summary(session)
+        if summary.get("result") != "PASS":
+            raise ValueError(f"golden PASS changed: {session_id}")
+        if summary.get("calibration_scope") != scope:
+            raise ValueError(f"golden scope changed: {session_id}")
+        artifacts = summary["artifacts"]
+        hashes = summary["hashes"]
+        calibration_json = session / artifacts["json"]
+        corrected_urdf = session / artifacts["urdf"]
+        actual_json_hash = _sha256_file(calibration_json)
+        actual_urdf_hash = _sha256_file(corrected_urdf)
+        if actual_json_hash != hashes["calibration_json_sha256"]:
+            raise ValueError(f"golden JSON hash changed: {session_id}")
+        if actual_urdf_hash != hashes["corrected_urdf_sha256"]:
+            raise ValueError(f"golden URDF hash changed: {session_id}")
+        if session_id == "20260831_141123" and len(
+            summary.get("preserved_certified_zero_joints", ())
+        ) != 12:
+            raise ValueError("merged thumb no longer freezes all finger zeros")
+        if session_id == "20260831_163843":
+            payload = json.loads(calibration_json.read_text(encoding="utf-8"))
+            if payload.get("artifact_type") != (
+                "g20_right_standalone_thumb_calibration"
+            ):
+                raise ValueError("standalone thumb artifact type changed")
+        results[session_id] = {
+            "result": "PASS",
+            "json_sha256": actual_json_hash,
+            "urdf_sha256": actual_urdf_hash,
+        }
+
+    for session_id, (error_code, reason) in _FAIL_SESSIONS.items():
+        session = root / session_id
+        summary = _summary(session)
+        if (
+            summary.get("result") != "FAIL"
+            or summary.get("error_code") != error_code
+            or summary.get("reason") != reason
+        ):
+            raise ValueError(f"golden failure decision changed: {session_id}")
+        results[session_id] = {
+            "result": "FAIL",
+            "error_code": error_code,
+            "reason": reason,
+        }
+
+    failure_ids = set(_FAIL_SESSIONS)
+    for pointer_name in ("latest_passed", "latest_thumb_passed"):
+        pointer = root / pointer_name
+        if pointer.exists() and pointer.resolve().name in failure_ids:
+            raise ValueError(f"failure session was published through {pointer_name}")
+
+    if replay_full_session:
+        from .offline_replay import replay_session
+
+        session_id = "20260830_181154"
+        replay = replay_session(root / session_id, write_outputs=False)
+        expected = results[session_id]
+        if replay["computed_final_json_sha256"] != expected["json_sha256"]:
+            raise ValueError(
+                "full-session replay JSON is not byte-identical: "
+                f"computed={replay['computed_final_json_sha256']} "
+                f"expected={expected['json_sha256']}"
+            )
+        if replay["corrected_urdf_sha256"] != expected["urdf_sha256"]:
+            raise ValueError(
+                "full-session replay URDF is not byte-identical: "
+                f"computed={replay['corrected_urdf_sha256']} "
+                f"expected={expected['urdf_sha256']}"
+            )
+        results[session_id]["offline_replay"] = "byte_identical"
+    return results
+
+
+def main(args: list[str] | None = None) -> None:
+    parser = argparse.ArgumentParser(
+        description="Validate the five reviewed calibration sessions"
+    )
+    parser.add_argument("serial_root")
+    parser.add_argument("--no-replay", action="store_true")
+    selected = parser.parse_args(args)
+    print(
+        json.dumps(
+            validate_golden_sessions(
+                selected.serial_root,
+                replay_full_session=not selected.no_replay,
+            ),
+            ensure_ascii=False,
+            indent=2,
+            sort_keys=True,
+        )
+    )
+
+
+if __name__ == "__main__":
+    main()

src/linkerhand_calibration/linkerhand_calibration/models/g20/legacy_11.py

@@ -0,0 +1,35 @@
+"""One-release typed wrappers for the legacy 11-Tag layouts."""
+
+from ...core import ProfileKey
+from .profile import get_hand_calibration_profile
+from ...urdf_zero import get_zero_calibration_profile
+from ..registry import RegisteredProfile
+from ._adapter import adapt_profile
+
+
+LEFT_KEY = ProfileKey("G20", "left", "legacy_11", 1)
+RIGHT_KEY = ProfileKey("G20", "right", "legacy_11", 1)
+
+
+def build_left_profile() -> RegisteredProfile:
+    hand = get_hand_calibration_profile(LEFT_KEY.side, LEFT_KEY.layout)
+    return adapt_profile(
+        key=LEFT_KEY,
+        namespace="/g20_calibration",
+        hand_profile=hand,
+        zero_profile=get_zero_calibration_profile(
+            LEFT_KEY.side, LEFT_KEY.layout
+        ),
+    )
+
+
+def build_right_profile() -> RegisteredProfile:
+    hand = get_hand_calibration_profile(RIGHT_KEY.side, RIGHT_KEY.layout)
+    return adapt_profile(
+        key=RIGHT_KEY,
+        namespace="/g20_calibration",
+        hand_profile=hand,
+        zero_profile=get_zero_calibration_profile(
+            RIGHT_KEY.side, RIGHT_KEY.layout
+        ),
+    )

src/linkerhand_calibration/linkerhand_calibration/models/g20/motion.py

@@ -0,0 +1,15 @@
+"""Reviewed motion and safe-waypoint strategy exports."""
+
+from .profile import (
+    build_calibration_motion_command,
+    build_calibration_preparation_waypoints,
+    build_calibration_return_waypoints,
+    build_calibration_speed_profile,
+)
+
+__all__ = [
+    "build_calibration_motion_command",
+    "build_calibration_preparation_waypoints",
+    "build_calibration_return_waypoints",
+    "build_calibration_speed_profile",
+]

src/linkerhand_calibration/linkerhand_calibration/models/g20/node.py

@@ -26,7 +26,7 @@ from sensor_msgs.msg import CameraInfo, JointState
 from std_msgs.msg import String
 from std_srvs.srv import Trigger
 
-from .acquisition import (
+from ...acquisition import (
     StateSample,
     TagQuality,
     interpolate_state_u8,
@@ -34,20 +34,20 @@ from .acquisition import (
     tag_quality_is_valid,
     update_pnp_reset_watchdog,
 )
-from .core import (
-    COMMAND_NAMES,
+from ...core import (
     DIRECTION_DECREASING,
     DIRECTION_INCREASING,
     robust_rotation_summary,
 )
-from .extrinsics import (
+from ...core.urdf import build_correction_plan
+from ...extrinsics import (
     ThreeCameraExtrinsics,
     camera_info_fingerprint,
     load_three_camera_extrinsics,
     matrix_payload,
     transform_matrix,
 )
-from .full_hand import (
+from .profile import (
     G20_COMBINATION_REQUIRED_TARGET_KEYS,
     G20_REFERENCE_THUMB_CMC_JOINTS,
     G20_RIGHT_19_LAYOUT,
@@ -73,23 +73,24 @@ from .full_hand import (
     fit_joint_image_curve,
     get_hand_calibration_profile,
 )
-from .hikrobot_camera import configure_fastdds_large_image_transport
-from .pnp import (
+from ...hikrobot_camera import configure_fastdds_large_image_transport
+from .command_layout import G20_COMMAND_NAMES as COMMAND_NAMES
+from ...pnp import (
     SquareTagGroupPoseTracker,
     SquareTagPose,
     SquareTagPoseTracker,
 )
-from .product import get_product_calibration_contract
-from .sample_schema import (
+from ...product import get_product_calibration_contract
+from ...sample_schema import (
     SampleDataContractError,
     canonical_sample_record,
     fitting_sample_record,
     fitting_sample_records,
     validate_sample_records,
 )
-from .storage import append_jsonl, append_jsonl_many, atomic_write_json
-from .three_camera_diagnostics import render_three_camera_status_text_zh
-from .urdf_zero import (
+from ...storage import append_jsonl, append_jsonl_many, atomic_write_json
+from .reporting_zh import render_three_camera_status_text_zh
+from .zero_solver import (
     LEFT_ZERO_PROFILE,
     RIGHT_19_ENDPOINT_MEASUREMENT_JOINTS,
     RIGHT_19_MECHANICAL_ENDPOINT_JOINTS,
@@ -318,13 +319,19 @@ def _palm_axis_observer_schema(
 def _palm_axis_resume_policy(
     profile: HandCalibrationProfile,
     session_start: Mapping[str, Any],
+    compatibility_tokens: frozenset[str] | None = None,
 ) -> tuple[bool, tuple[str, ...]]:
     """Validate optional palm-axis checkpoint data when a model uses it."""
     capability = "palm_axis_relative_motion_v3"
     previous = {str(value) for value in session_start.get("capabilities", [])}
-    if not profile.palm_axis_observers and capability not in profile.capabilities:
+    current = (
+        frozenset(profile.capabilities)
+        if compatibility_tokens is None
+        else frozenset(compatibility_tokens)
+    )
+    if not profile.palm_axis_observers and capability not in current:
         return True, ()
-    required_previous = set(profile.capabilities) - {capability}
+    required_previous = set(current) - {capability}
     if not required_previous.issubset(previous):
         raise ValueError("resume checkpoint lacks required capabilities")
     if capability in previous:
@@ -741,7 +748,7 @@ def _requires_pnp_tracker_reset_for_sweep(
         return False
     if is_fit_retry:
         return True
-    if profile.supports("precheck_sweeps"):
+    if profile.precheck_sweeps:
         return bool(item.precheck)
     return not item.precheck and item.cycle == 0
 
@@ -813,6 +820,52 @@ def _maximum_corner_drift_px(
     )
 
 
+def _resume_fixed_base_position_compatibility(
+    rows: Sequence[Mapping[str, Any]],
+    current_corners_by_view: Mapping[
+        str, Sequence[Sequence[float]] | None
+    ],
+    maximum_corner_drift_px: float,
+) -> tuple[dict[str, float], tuple[str, ...], tuple[str, ...]]:
+    """Compare the previous and current session-start palm references.
+
+    Calibration measurements are invariant to one rigid hand placement, but
+    samples expressed in two independently established common frames must
+    never be combined.  Fixed palm-Tag corners provide a camera-native check
+    before any durable task is imported.
+    """
+    previous_corners_by_view: dict[str, Any] = {}
+    for row in rows:
+        if str(row.get("kind", "")) != "fixed_base_reference_locked":
+            continue
+        view = str(row.get("view", ""))
+        if view in current_corners_by_view:
+            # Keep the last lock in case a future compatible schema records a
+            # deliberate pre-scan relock in the same raw stream.
+            previous_corners_by_view[view] = row.get("corner_reference_xy")
+
+    drift_by_view_px: dict[str, float] = {}
+    changed_views: list[str] = []
+    unverifiable_views: list[str] = []
+    for view, current in current_corners_by_view.items():
+        previous = previous_corners_by_view.get(str(view))
+        if previous is None or current is None:
+            unverifiable_views.append(str(view))
+            continue
+        drift = _maximum_corner_drift_px(previous, current)
+        if not math.isfinite(drift):
+            unverifiable_views.append(str(view))
+            continue
+        drift_by_view_px[str(view)] = drift
+        if drift > float(maximum_corner_drift_px):
+            changed_views.append(str(view))
+    return (
+        drift_by_view_px,
+        tuple(sorted(changed_views)),
+        tuple(sorted(unverifiable_views)),
+    )
+
+
 def _selected_pose_qualities(
     selected: Mapping[str, SquareTagPose],
     live_qualities: Mapping[str, TagQuality],
@@ -1421,6 +1474,19 @@ def _unresolved_fit_failure_tasks(
                 # failures that mixed velocity lag or firmware tracking
                 # deadband with mechanical hysteresis are safe to revalidate.
                 return True
+            if (
+                profile.layout_id == G20_RIGHT_19_LAYOUT
+                and metric == "axis_pose_line_rms_mm"
+                and joint_name in profile.record_specs
+                and not profile.record_specs[
+                    joint_name
+                ].pose_axis_line_required
+            ):
+                # Current profile policy owns whether this monocular 3-D
+                # diagnostic is release-critical.  Revalidate the complete
+                # raw task under that policy instead of making an old failure
+                # force another acquisition forever.
+                return True
             if (
                 profile.layout_id == G20_RIGHT_19_LAYOUT
                 and joint_name
@@ -2015,7 +2081,7 @@ def _build_sweep_plan(
     """
     plan: list[SweepItem] = []
     for spec in profile.sweep_specs:
-        if profile.supports("precheck_sweeps"):
+        if profile.precheck_sweeps:
             plan.extend(
                 SweepItem(spec, -1, direction, precheck=True)
                 for direction in (
@@ -2708,6 +2774,7 @@ class G20ThreeCameraCalibrationNode(Node):
         )
         self.profile = product_contract.profile
         self.zero_profile = product_contract.zero_profile
+        self.calibration_profile = product_contract.typed_profile
         self.serial_number = str(value("serial_number"))
         if self.serial_number == "UNSET":
             raise ValueError("serial_number is required")
@@ -2766,6 +2833,11 @@ class G20ThreeCameraCalibrationNode(Node):
             )
         self.resumed_task_keys: tuple[str, ...] = ()
         self.resume_source_session = ""
+        self.resume_checkpoint_pending = False
+        self.resume_position_policy = "not_requested"
+        self.resume_position_changed_views: tuple[str, ...] = ()
+        self.resume_position_unverifiable_views: tuple[str, ...] = ()
+        self.resume_position_drift_by_view_px: dict[str, float] = {}
         self.camera_extrinsics_file = Path(
             str(value("camera_extrinsics_file"))
         ).expanduser().resolve()
@@ -5226,7 +5298,19 @@ class G20ThreeCameraCalibrationNode(Node):
             (
                 palm_axis_schema_compatible,
                 palm_axis_invalidated_tasks,
-            ) = _palm_axis_resume_policy(self.profile, start)
+            ) = _palm_axis_resume_policy(
+                self.profile,
+                start,
+                getattr(
+                    getattr(
+                        getattr(self, "calibration_profile", None),
+                        "artifacts",
+                        None,
+                    ),
+                    "session_compatibility_tokens",
+                    frozenset(self.profile.capabilities),
+                ),
+            )
         except ValueError as error:
             raise RuntimeError(
                 "resume checkpoint algorithm capabilities differ"
@@ -5247,6 +5331,54 @@ class G20ThreeCameraCalibrationNode(Node):
                 "resume checkpoint geometry, algorithm capabilities, Tag "
                 "layout, baseline or source URDF differs"
             )
+        current_corners_by_view = {
+            str(view): getattr(runtime, "locked_base_corners_xy", None)
+            for view, runtime in getattr(self, "views", {}).items()
+        }
+        if not current_corners_by_view:
+            raise RuntimeError(
+                "resume checkpoint requires current fixed-base references"
+            )
+        (
+            position_drift_by_view_px,
+            position_changed_views,
+            position_unverifiable_views,
+        ) = _resume_fixed_base_position_compatibility(
+            rows,
+            current_corners_by_view,
+            float(
+                getattr(self, "fixed_base_maximum_corner_drift_px", 2.0)
+            ),
+        )
+        self.resume_source_session = source.parent.name
+        self.resume_position_drift_by_view_px = dict(
+            position_drift_by_view_px
+        )
+        self.resume_position_changed_views = position_changed_views
+        self.resume_position_unverifiable_views = (
+            position_unverifiable_views
+        )
+        start_position_invalidated_tasks: tuple[str, ...] = ()
+        if position_changed_views or position_unverifiable_views:
+            if str(getattr(self, "recalibration_scope", "full")) != "full":
+                affected = sorted(
+                    {*position_changed_views, *position_unverifiable_views}
+                )
+                raise RuntimeError(
+                    "resume checkpoint start pose differs or cannot be "
+                    "verified for partial recalibration: "
+                    + ",".join(affected)
+                )
+            start_position_invalidated_tasks = tuple(
+                spec.key for spec in self.profile.sweep_specs
+            )
+            self.resume_position_policy = (
+                "discard_all_tasks_for_new_start_pose"
+                if position_changed_views
+                else "discard_all_tasks_for_unverified_start_pose"
+            )
+        else:
+            self.resume_position_policy = "reuse_same_start_pose"
         try:
             changed_tag_size_ids, size_invalidated_tasks = (
                 resume_tasks_invalidated_by_tag_size_changes(
@@ -5261,6 +5393,7 @@ class G20ThreeCameraCalibrationNode(Node):
             ) from error
         invalidated_task_set = set(size_invalidated_tasks)
         invalidated_task_set.update(palm_axis_invalidated_tasks)
+        invalidated_task_set.update(start_position_invalidated_tasks)
         scope_invalidated_tasks = tuple(
             getattr(self, "recalibration_task_keys", ()) or ()
         )
@@ -5368,7 +5501,6 @@ class G20ThreeCameraCalibrationNode(Node):
             )
         self.resumed_task_keys = completed
         G20ThreeCameraCalibrationNode._advance_past_resumed_sweeps(self)
-        self.resume_source_session = source.parent.name
         missing_tasks = [
             spec.key
             for spec in self.profile.sweep_specs
@@ -5398,6 +5530,20 @@ class G20ThreeCameraCalibrationNode(Node):
                 "scope_invalidated_task_keys": list(
                     scope_invalidated_tasks
                 ),
+                "start_position_policy": self.resume_position_policy,
+                "start_position_changed_views": list(
+                    position_changed_views
+                ),
+                "start_position_unverifiable_views": list(
+                    position_unverifiable_views
+                ),
+                "start_position_drift_by_view_px": {
+                    view: round(float(value), 6)
+                    for view, value in position_drift_by_view_px.items()
+                },
+                "start_position_invalidated_task_keys": list(
+                    start_position_invalidated_tasks
+                ),
                 "imported_record_count": len(reusable),
                 "imported_attempt_floor_by_task": attempt_floor_by_task,
                 "source_raw_samples_sha256": _file_sha256(source),
@@ -5551,6 +5697,19 @@ class G20ThreeCameraCalibrationNode(Node):
             return response
         self.started = True
         self.startup_baseline_recovered = False
+        self.resumed_task_keys = ()
+        self.resume_source_session = ""
+        self.resume_checkpoint_pending = bool(
+            self.resume_raw_samples_path is not None
+        )
+        self.resume_position_policy = (
+            "pending_new_start_pose_check"
+            if self.resume_checkpoint_pending
+            else "not_requested"
+        )
+        self.resume_position_changed_views = ()
+        self.resume_position_unverifiable_views = ()
+        self.resume_position_drift_by_view_px = {}
         self.sweep_items = []
         self.pnp_task_spec = None
         selected_sweep_specs = list(self.profile.sweep_specs)
@@ -5646,7 +5805,19 @@ class G20ThreeCameraCalibrationNode(Node):
                     self.recalibration_task_keys
                 ),
                 "command_names": list(_command_names(self)),
-                "capabilities": sorted(self.profile.capabilities),
+                # Retained only as an old-session serialization token.  Live
+                # decisions use the typed motion/measurement policies.
+                "capabilities": sorted(
+                    getattr(
+                        getattr(
+                            getattr(self, "calibration_profile", None),
+                            "artifacts",
+                            None,
+                        ),
+                        "session_compatibility_tokens",
+                        frozenset(self.profile.capabilities),
+                    )
+                ),
                 "reference_finger": self.profile.reference_finger,
                 "view_tags": {
                     view: dict(tags)
@@ -5706,10 +5877,16 @@ class G20ThreeCameraCalibrationNode(Node):
         )
         try:
             if self.resume_raw_samples_path is not None:
-                self.state = STATE_IMPORTING_BASE
-                self.reason = "reading_base_session_records"
+                if not self.resume_raw_samples_path.is_file():
+                    raise RuntimeError(
+                        "resume raw samples do not exist: "
+                        f"{self.resume_raw_samples_path}"
+                    )
+                self.resume_source_session = (
+                    self.resume_raw_samples_path.parent.name
+                )
                 self.base_import_progress = {
-                    "phase": "reading",
+                    "phase": "waiting_for_new_start_pose_reference",
                     "records_read": 0,
                     "bytes_read": 0,
                     "total_bytes": int(
@@ -5717,10 +5894,9 @@ class G20ThreeCameraCalibrationNode(Node):
                     ),
                     "fraction": 0.0,
                 }
-                self._publish_status(time.monotonic())
-            restored_tasks = self._restore_durable_task_checkpoint()
         except Exception as error:
             self.started = False
+            self.resume_checkpoint_pending = False
             response.success = False
             response.message = f"CFG-RESUME-009:{error}"
             return response
@@ -5728,8 +5904,11 @@ class G20ThreeCameraCalibrationNode(Node):
         response.success = True
         response.message = (
             "three-camera calibration started"
-            if restored_tasks == 0
-            else f"calibration resumed with {restored_tasks} completed tasks"
+            if not self.resume_checkpoint_pending
+            else (
+                "three-camera calibration started; checkpoint will be "
+                "verified after the new start-pose reference is locked"
+            )
         )
         return response
 
@@ -8157,7 +8336,7 @@ class G20ThreeCameraCalibrationNode(Node):
                     }
                 )
                 continue
-            if profile.supports("steady_command_checkpoints"):
+            if profile.steady_command_checkpoints:
                 command_store = getattr(
                     self, "command_records_by_joint", None
                 )
@@ -8438,7 +8617,7 @@ class G20ThreeCameraCalibrationNode(Node):
                     "maximum",
                 ),
             )
-            if not profile.supports("directional_zero"):
+            if not profile.directional_zero:
                 checks = checks + (
                     (
                         "hysteresis_deg",
@@ -8584,6 +8763,35 @@ class G20ThreeCameraCalibrationNode(Node):
                 # error is an admissibility check for constrained circles.
                 for metric, actual, limit in axis_checks:
                     if actual > limit:
+                        if (
+                            metric == "axis_pose_line_rms_mm"
+                            and not joint_spec.pose_axis_line_required
+                        ):
+                            append_jsonl(
+                                self.raw_path,
+                                {
+                                    "kind": (
+                                        "position_invariant_quality_diagnostic"
+                                    ),
+                                    "task_name": spec.key,
+                                    "joint": joint_name,
+                                    "cycle": cycle + 1,
+                                    "metric": metric,
+                                    "actual": round(float(actual), 6),
+                                    "reference_limit": round(
+                                        float(limit), 6
+                                    ),
+                                    "decision": "diagnostic_only",
+                                    "authoritative_quality": [
+                                        "tag_pnp",
+                                        "image_trajectory",
+                                        "relative_rotation",
+                                        "synchronisation",
+                                        "isolated_holdout",
+                                    ],
+                                },
+                            )
+                            continue
                         failure_joint = joint_name
                         quality_sources: tuple[str, ...] = ()
                         if metric == "axis_pose_line_rms_mm":
@@ -8789,7 +8997,7 @@ class G20ThreeCameraCalibrationNode(Node):
                             if index != outlier
                         ]
                     failures.append(failure)
-        if profile.supports("cross_view_roll_curve"):
+        if profile.cross_view_roll_curve:
             for primary_name, validation_name in (
                 profile.axis_validation_sources or {}
             ).items():
@@ -11565,6 +11773,20 @@ class G20ThreeCameraCalibrationNode(Node):
                 name: published_zero_offsets[name]
                 for name in self.zero_profile.direct_zero_joints
             }
+        correction_plan = None
+        typed_profile = getattr(self, "calibration_profile", None)
+        if typed_profile is not None:
+            frozen_names = typed_profile.scope.frozen_joints[
+                self.recalibration_scope
+            ]
+            correction_plan = build_correction_plan(
+                typed_profile,
+                source_sha256=_file_sha256(self.source_urdf_path),
+                scope=self.recalibration_scope,
+                frozen_offsets_rad={
+                    name: urdf_offsets[name] for name in frozen_names
+                },
+            )
         self.corrected_urdf_path = write_zero_corrected_urdf(
             source_urdf=self.source_urdf_path,
             output_directory=self.corrected_urdf_output_dir,
@@ -11572,6 +11794,7 @@ class G20ThreeCameraCalibrationNode(Node):
             offsets_rad=urdf_offsets,
             endpoint_anchored_offsets_rad=endpoint_zero_offsets,
             timestamp=stamp,
+            correction_plan=correction_plan,
         )
         try:
             if self.standalone_thumb_calibration:
@@ -11885,6 +12108,21 @@ class G20ThreeCameraCalibrationNode(Node):
             elif self.startup_baseline_recovered and self._all_preflight_ready(now):
                 locker = getattr(self, "_lock_fixed_base_references", None)
                 if locker is None or locker():
+                    if getattr(self, "resume_checkpoint_pending", False):
+                        self.resume_checkpoint_pending = False
+                        self.state = STATE_IMPORTING_BASE
+                        self.reason = "reading_base_session_records"
+                        self.base_import_progress = {
+                            "phase": "reading",
+                            "records_read": 0,
+                            "bytes_read": 0,
+                            "total_bytes": int(
+                                self.resume_raw_samples_path.stat().st_size
+                            ),
+                            "fraction": 0.0,
+                        }
+                        self._publish_status(time.monotonic())
+                        self._restore_durable_task_checkpoint()
                     self._start_next_sweep()
                 else:
                     self.reason = "locking_fixed_base_references"
@@ -12932,7 +13170,32 @@ class G20ThreeCameraCalibrationNode(Node):
             "camera_extrinsics_error": self.extrinsics_error,
             "resume": {
                 "used": bool(self.resumed_task_keys),
+                "checkpoint_requested": bool(
+                    self.resume_raw_samples_path is not None
+                ),
+                "checkpoint_pending": bool(
+                    getattr(self, "resume_checkpoint_pending", False)
+                ),
                 "source_session": self.resume_source_session,
+                "start_position_policy": getattr(
+                    self, "resume_position_policy", "not_requested"
+                ),
+                "start_position_changed_views": list(
+                    getattr(self, "resume_position_changed_views", ())
+                ),
+                "start_position_unverifiable_views": list(
+                    getattr(
+                        self,
+                        "resume_position_unverifiable_views",
+                        (),
+                    )
+                ),
+                "start_position_drift_by_view_px": {
+                    view: round(float(value), 6)
+                    for view, value in getattr(
+                        self, "resume_position_drift_by_view_px", {}
+                    ).items()
+                },
                 "recalibration_scope": self.recalibration_scope,
                 "recalibration_task_keys": list(
                     self.recalibration_task_keys

src/linkerhand_calibration/linkerhand_calibration/models/g20/offline_replay.py

@@ -19,8 +19,10 @@ import numpy as np
 from scipy.spatial.transform import Rotation
 import yaml
 
-from .extrinsics import load_three_camera_extrinsics
-from .full_hand import (
+from ...compat import default_three_camera_config_path
+from ...compat.legacy import uses_coupled_full_hand_zero_solver
+from ...extrinsics import load_three_camera_extrinsics
+from .profile import (
     G20_REFERENCE_THUMB_CMC_JOINTS,
     G20_RIGHT_19_LAYOUT,
     RIGHT_19_END_ON_IMAGE_CURVE_JOINTS,
@@ -36,10 +38,11 @@ from .full_hand import (
     get_hand_calibration_profile,
     validate_compact_payload,
 )
-from .product import get_product_calibration_contract
-from .sample_schema import fitting_sample_record, fitting_sample_records
-from .storage import atomic_write_json
-from .urdf_zero import (
+from ...product import get_product_calibration_contract
+from ...sample_schema import fitting_sample_record, fitting_sample_records
+from ...storage import atomic_write_json
+from .publication import clamp_compact_payload_to_urdf_limits
+from .zero_solver import (
     JointAxisMeasurement,
     RIGHT_19_ENDPOINT_MEASUREMENT_JOINTS,
     UrdfKinematicModel,
@@ -76,6 +79,42 @@ def _sha256(path: Path) -> str:
     return digest.hexdigest()
 
 
+def _payload_sha256(payload: Mapping[str, Any]) -> str:
+    encoded = (
+        json.dumps(payload, ensure_ascii=False, indent=2) + "\n"
+    ).encode("utf-8")
+    return hashlib.sha256(encoded).hexdigest()
+
+
+def _legacy_published_quality(
+    session: Path, *, side: str, serial_number: str
+) -> dict[str, Any]:
+    """Recover v1 random-validation aggregates that raw JSONL omitted."""
+    path = session / f"g20_{side}_{serial_number}_calibration.json"
+    if not path.is_file():
+        raise ValueError(
+            "legacy replay requires its published JSON because v1 raw "
+            "samples omitted random-validation observations"
+        )
+    payload = json.loads(path.read_text(encoding="utf-8"))
+    quality = payload.get("quality")
+    if not isinstance(quality, Mapping) or set(quality) != {
+        "passed",
+        "validation_mae_rad",
+        "validation_p95_rad",
+    }:
+        raise ValueError("legacy published JSON has an invalid quality block")
+    if not bool(quality["passed"]):
+        raise ValueError("legacy published JSON did not pass validation")
+    values = (
+        float(quality["validation_mae_rad"]),
+        float(quality["validation_p95_rad"]),
+    )
+    if any(not math.isfinite(value) or value < 0.0 for value in values):
+        raise ValueError("legacy published quality contains an invalid error")
+    return dict(quality)
+
+
 def _output_suffix(output_tag: str | None) -> str:
     """Return a filename-safe suffix for a non-destructive replay variant."""
     if output_tag is None:
@@ -795,6 +834,7 @@ def _quality_failures(
             if (
                 profile.record_specs[name].zero_kind
                 != "axis_cross_view_validation"
+                and profile.record_specs[name].pose_axis_line_required
                 and cross_view_side_line_source(axis) is None
                 and axis.pose_axis_line_rms_m
                 > float(parameters["axis_maximum_pose_line_rms_m"])
@@ -1009,9 +1049,8 @@ def replay_session(
     output_tag: str | None = None,
 ) -> dict[str, Any]:
     session = Path(session_dir).expanduser().resolve()
-    package_root = Path(__file__).resolve().parents[1]
     config = (
-        package_root / "config" / "three_camera_calibration.yaml"
+        default_three_camera_config_path()
         if config_file is None
         else Path(config_file).expanduser().resolve()
     )
@@ -1024,6 +1063,7 @@ def replay_session(
         palm_axis_records_by_source,
         raw_path,
     ) = _load_raw_session(session)
+    legacy_coupled_zero_solver = uses_coupled_full_hand_zero_solver(start)
     model = str(start.get("model", "G20")).strip().upper()
     side = str(start["hand_type"]).lower()
     requested_layout_id = str(
@@ -1199,9 +1239,33 @@ def replay_session(
                 raise ValueError(
                     f"{name} has {len(records)}/18 steady command checkpoints"
                 )
-            command_fits[name] = _fit_curve(
-                name, records, profile=profile, baseline=baseline
+            zero_command = int(
+                baseline[profile.joint_specs[name].motor_index]
             )
+            if name in RIGHT_19_END_ON_IMAGE_CURVE_JOINTS:
+                command_fits[name] = fit_joint_image_curve(
+                    records,
+                    maximum_radial_rms_px=float(
+                        parameters["image_trajectory_maximum_radial_rms_px"]
+                    ),
+                    maximum_radial_p95_px=float(
+                        parameters["image_trajectory_maximum_radial_p95_px"]
+                    ),
+                    minimum_radius_px=float(
+                        parameters["image_trajectory_minimum_radius_px"]
+                    ),
+                    minimum_arc_rad=math.radians(
+                        float(parameters["trajectory_minimum_arc_deg"])
+                    ),
+                )
+            else:
+                command_fits[name] = fit_rotation_joint_curve(
+                    records,
+                    zero_command_u8=zero_command,
+                    canonical_zero_direction=canonical_zero_direction(
+                        profile, name
+                    ),
+                )
         command_gap_limit = math.radians(
             float(parameters.get("command_maximum_direction_gap_deg", 2.0))
         )
@@ -1300,10 +1364,23 @@ def replay_session(
         source_urdf=source_urdf,
         repetitions=repetitions,
     )
+    palm_records_for_fit = palm_axis_records_by_source
+    if legacy_coupled_zero_solver:
+        palm_records_for_fit = {
+            name: [
+                {
+                    key: value
+                    for key, value in record.items()
+                    if key != "child_pose_common"
+                }
+                for record in records
+            ]
+            for name, records in palm_axis_records_by_source.items()
+        }
     palm_orientation_measurements, palm_orientation_rejections = (
         fit_partial_palm_orientation_measurements(
             sources=profile.palm_orientation_sources,
-            records_by_joint=palm_axis_records_by_source,
+            records_by_joint=palm_records_for_fit,
             motor_by_source=profile.palm_axis_motor_by_source,
             baseline_command_u8=baseline,
             cycles=range(repetitions),
@@ -1543,7 +1620,7 @@ def replay_session(
         fits: Mapping[str, JointCurveFit],
         arguments: Mapping[str, Any],
     ):
-        if layout_id != G20_RIGHT_19_LAYOUT:
+        if layout_id != G20_RIGHT_19_LAYOUT or legacy_coupled_zero_solver:
             return solve_urdf_zero_offsets(curves=fits, **arguments)
         thumb_profile = get_right_19_thumb_zero_profile()
         thumb_names = set(thumb_profile.direct_zero_joints)
@@ -1800,6 +1877,19 @@ def replay_session(
                 else None
             ),
         )
+        payload, _clipped_runtime_joints = (
+            clamp_compact_payload_to_urdf_limits(payload, candidate)
+        )
+        legacy_quality_source = None
+        if legacy_coupled_zero_solver:
+            payload["quality"] = _legacy_published_quality(
+                session,
+                side=side,
+                serial_number=hand_serial,
+            )
+            legacy_quality_source = (
+                "published_v1_artifact_random_validation_omitted_from_raw"
+            )
         validate_compact_payload(payload)
         if write_outputs:
             if _sha256(source_urdf) != source_hash_before:
@@ -1901,6 +1991,8 @@ def replay_session(
             "maximum_residual_zero_offset_deg": math.degrees(maximum_residual_offset),
         },
         "corrected_urdf_sha256": candidate_hash,
+        "computed_final_json_sha256": _payload_sha256(payload),
+        "legacy_quality_source": legacy_quality_source,
         "final_json": str(final_json) if write_outputs else None,
         "corrected_urdf": str(final_urdf) if write_outputs else None,
     }

src/linkerhand_calibration/linkerhand_calibration/models/g20/profile.py

@@ -17,15 +17,15 @@ import xml.etree.ElementTree as ET
 
 import numpy as np
 
-from .core import COMMAND_NAMES
-from .trajectory import (
+from .command_layout import G20_COMMAND_NAMES as COMMAND_NAMES
+from ...trajectory import (
     _angle_for_circle,
     _fit_circle_with_axis,
     _fit_joint_curve,
     _fit_plane_axis,
     _orient_circle_positive,
 )
-from .zero_calibration import (
+from ...zero_calibration import (
     _fit_circle,
     _trajectory_arc_rad,
     circular_median_rad,
@@ -51,6 +51,12 @@ class JointSpec:
     child_role: str | None
     source_joint: str | None = None
     zero_kind: str | None = None
+    # Keep the physical axis-line gate only when that line contributes to a
+    # released URDF zero/axis decision.  Curve-only passive measurements may
+    # retain the monocular line residual as a diagnostic while their image
+    # trajectory, relative rotation, synchronisation and holdout gates remain
+    # release-critical.
+    pose_axis_line_required: bool = True
 
     @property
     def measured(self) -> bool:
@@ -129,6 +135,12 @@ class HandCalibrationProfile:
     command_names: tuple[str, ...] = COMMAND_NAMES
     baseline_command: tuple[int, ...] = THREE_CAMERA_BASELINE_COMMAND
     capabilities: frozenset[str] = frozenset()
+    precheck_sweeps: bool = False
+    steady_command_checkpoints: bool = False
+    directional_zero: bool = False
+    isolated_holdout: bool = False
+    cross_view_roll_curve: bool = False
+    stable_cross_view_cone_bias: bool = False
 
     @property
     def command_count(self) -> int:
@@ -537,7 +549,13 @@ def _build_right_19_profile() -> HandCalibrationProfile:
             zero_kind="urdf_axis_chain",
         ),
         "thumb_ip": JointSpec(
-            "thumb_ip", 15, False, "front", "thumb_mcp", "thumb_ip",
+            "thumb_ip",
+            15,
+            False,
+            "front",
+            "thumb_mcp",
+            "thumb_ip",
+            pose_axis_line_required=False,
         ),
     }
     for finger in ("index", "middle", "ring", "pinky"):
@@ -703,6 +721,12 @@ def _build_right_19_profile() -> HandCalibrationProfile:
                 "palm_axis_relative_motion_v3",
             }
         ),
+        precheck_sweeps=True,
+        steady_command_checkpoints=True,
+        directional_zero=True,
+        isolated_holdout=True,
+        cross_view_roll_curve=True,
+        stable_cross_view_cone_bias=True,
     )
 
 

src/linkerhand_calibration/linkerhand_calibration/models/g20/publication.py

@@ -15,15 +15,16 @@ import xml.etree.ElementTree as ET
 import numpy as np
 from scipy.spatial.transform import Rotation
 
-from .full_hand import (
+from .profile import (
     G20_COMBINATION_REQUIRED_TARGET_KEYS,
     G20_RIGHT_19_LAYOUT,
     get_hand_calibration_profile,
     validate_compact_payload,
 )
-from .product import ProductConfig, sha256_file
-from .storage import atomic_write_json
-from .urdf_zero import (
+from ...product import ProductConfig, sha256_file
+from ...storage import atomic_write_json
+from ...core.urdf import UrdfCorrectionPlan, build_correction_plan
+from .zero_solver import (
     RIGHT_19_MECHANICAL_ENDPOINT_JOINTS,
     get_zero_calibration_profile,
 )
@@ -202,6 +203,7 @@ def verify_corrected_urdf(
     *,
     expected_offsets_rad: Mapping[str, float] | None = None,
     endpoint_anchored_offsets_rad: Mapping[str, float] | None = None,
+    correction_plan: UrdfCorrectionPlan | None = None,
 ) -> tuple[str, ...]:
     """Prove that only active-joint origin.rpy attributes changed.
 
@@ -210,6 +212,13 @@ def verify_corrected_urdf(
     """
     source_text = Path(source).read_text(encoding="utf-8")
     corrected_text = Path(corrected).read_text(encoding="utf-8")
+    if correction_plan is not None:
+        correction_plan.verify_source(source)
+        if expected_offsets_rad is None:
+            raise ValueError(
+                "correction-plan validation requires expected offsets"
+            )
+        correction_plan.authorize_offsets(expected_offsets_rad)
     before = _joint_blocks(source_text)
     after = _joint_blocks(corrected_text)
     if set(before) != set(after):
@@ -243,6 +252,12 @@ def verify_corrected_urdf(
         for name, value in dict(endpoint_anchored_offsets_rad or {}).items()
     }
     if endpoint_offsets:
+        if correction_plan is not None and not set(endpoint_offsets).issubset(
+            correction_plan.endpoint_limit_joints
+        ):
+            raise ValueError(
+                "endpoint offsets are not authorized by the correction plan"
+            )
         source_joints = _joint_elements(source)
         corrected_joints = _joint_elements(corrected)
         for name, offset in endpoint_offsets.items():
@@ -745,11 +760,20 @@ def finalize_session_artifacts(
         name: offsets[name]
         for name in RIGHT_19_MECHANICAL_ENDPOINT_JOINTS
     }
+    typed_profile = config.calibration_contract.typed_profile
+    frozen_names = typed_profile.scope.frozen_joints[calibration_scope]
+    correction_plan = build_correction_plan(
+        typed_profile,
+        source_sha256=config.source_urdf_sha256,
+        scope=calibration_scope,
+        frozen_offsets_rad={name: offsets[name] for name in frozen_names},
+    )
     changed_joints = verify_corrected_urdf(
         config.source_urdf,
         paths["urdf"],
         expected_offsets_rad=offsets,
         endpoint_anchored_offsets_rad=endpoint_offsets,
+        correction_plan=correction_plan,
     )
     if standalone_thumb:
         clipped_runtime_joints = {}

src/linkerhand_calibration/linkerhand_calibration/models/g20/right_19.py

@@ -0,0 +1,27 @@
+"""Independent reviewed profile for the right 19-Tag product layout."""
+
+from ...core import ProfileKey
+from .profile import G20_RIGHT_19_LAYOUT, get_hand_calibration_profile
+from .zero_policy import (
+    RIGHT_19_MECHANICAL_ENDPOINT_JOINTS,
+    RIGHT_19_POST_SOLVE_ENDPOINT_JOINTS,
+    get_zero_calibration_profile,
+)
+from ..registry import RegisteredProfile
+from ._adapter import adapt_profile
+
+
+KEY = ProfileKey("G20", "right", G20_RIGHT_19_LAYOUT, 1)
+
+
+def build_profile() -> RegisteredProfile:
+    hand = get_hand_calibration_profile(KEY.side, KEY.layout)
+    zero = get_zero_calibration_profile(KEY.side, KEY.layout)
+    return adapt_profile(
+        key=KEY,
+        namespace="/g20_calibration",
+        hand_profile=hand,
+        zero_profile=zero,
+        mechanical_endpoint_joints=RIGHT_19_MECHANICAL_ENDPOINT_JOINTS,
+        post_solve_endpoint_joints=RIGHT_19_POST_SOLVE_ENDPOINT_JOINTS,
+    )

src/linkerhand_calibration/linkerhand_calibration/models/g20/runner.py

@@ -20,11 +20,15 @@ from rclpy.node import Node
 from std_msgs.msg import String
 from std_srvs.srv import Trigger
 
-from .hikrobot_camera import configure_fastdds_large_image_transport
-from .operator_report import ProgressEstimator, build_failure_report, render_progress_zh
-from .product import ProductConfig, load_product_config, sha256_file
+from ...hikrobot_camera import configure_fastdds_large_image_transport
+from ...operator_report import (
+    ProgressEstimator,
+    build_failure_report,
+    render_progress_zh,
+)
+from ...product import ProductConfig, load_product_config, sha256_file
 from .publication import atomic_session_pointer, finalize_session_artifacts
-from .storage import atomic_write_json
+from ...storage import atomic_write_json
 
 
 EXIT_PASS = 0
@@ -137,7 +141,7 @@ class ProgressConsole:
 def _default_product_config() -> Path:
     try:
         installed = Path(
-            get_package_share_directory("g20_thumb_apriltag_calibration")
+            get_package_share_directory("linkerhand_calibration")
         ) / "config" / "g20_right_product.yaml"
         if installed.is_file():
             return installed
@@ -145,7 +149,7 @@ def _default_product_config() -> Path:
         pass
     return (
         Path.cwd()
-        / "src/g20_thumb_apriltag_calibration/config/g20_right_product.yaml"
+        / "src/linkerhand_calibration/config/g20_right_product.yaml"
     ).resolve()
 
 
@@ -188,7 +192,7 @@ def _launch_command(
     return [
         "ros2",
         "launch",
-        "g20_thumb_apriltag_calibration",
+        "linkerhand_calibration",
         "three_camera_calibration.launch.py",
         *(f"{name}:={value}" for name, value in values.items()),
     ]

src/linkerhand_calibration/linkerhand_calibration/models/g20/zero_policy.py

@@ -0,0 +1,17 @@
+"""Reviewed static-zero, endpoint, and mimic topology exports."""
+
+from .profile import MIMIC_DERIVED_FINGER_DIPS
+from .zero_solver import (
+    RIGHT_19_ENDPOINT_MEASUREMENT_JOINTS,
+    RIGHT_19_MECHANICAL_ENDPOINT_JOINTS,
+    RIGHT_19_POST_SOLVE_ENDPOINT_JOINTS,
+    get_zero_calibration_profile,
+)
+
+__all__ = [
+    "MIMIC_DERIVED_FINGER_DIPS",
+    "RIGHT_19_ENDPOINT_MEASUREMENT_JOINTS",
+    "RIGHT_19_MECHANICAL_ENDPOINT_JOINTS",
+    "RIGHT_19_POST_SOLVE_ENDPOINT_JOINTS",
+    "get_zero_calibration_profile",
+]

src/linkerhand_calibration/linkerhand_calibration/models/g20/zero_solver.py

@@ -17,8 +17,9 @@ from scipy.optimize import least_squares
 from scipy.spatial.transform import Rotation
 from scipy.stats import t as student_t
 
-from .core import fit_rotation_axis, robust_rotation_summary
-from .full_hand import (
+from ...core import fit_rotation_axis, robust_rotation_summary
+from ...core.urdf import UrdfCorrectionPlan
+from .profile import (
     G20_RIGHT_19_LAYOUT,
     IMAGE_TRAJECTORY_JOINTS,
     LEFT_HAND_PROFILE,
@@ -28,8 +29,8 @@ from .full_hand import (
     JointCurveFit,
     get_hand_calibration_profile,
 )
-from .sample_schema import explicit_domain_value
-from .trajectory import (
+from ...sample_schema import explicit_domain_value
+from ...trajectory import (
     _fit_circle_with_axis,
     _fit_joint_curve,
     _fit_plane_axis,
@@ -66,6 +67,11 @@ class ZeroCalibrationProfile:
     # thumb kernel instead uses only the serial thumb chain, so its nuisance
     # palm pose cannot be influenced by finger observations.
     base_pose_strategy: str = "full_hand"
+    # A serial-chain model may use a separate palm-root joint axis to fix the
+    # otherwise free rotation about its primary root axis.  G20 retains its
+    # historical defaults; other model profiles can name the physical anchor
+    # explicitly without introducing model-specific branches in the solver.
+    orientation_anchor_joint: str | None = None
 
     @property
     def reference_finger(self) -> str:
@@ -3237,7 +3243,7 @@ def solve_urdf_zero_offsets(
                 np.ptp(np.asarray(curves[name].angle_rad))
             ),
         )
-        orientation_anchor = (
+        orientation_anchor = profile.orientation_anchor_joint or (
             "thumb_cmc_pitch"
             if profile.base_pose_strategy == "thumb_serial"
             else f"{profile.reference_finger}_mcp_pitch"
@@ -3850,7 +3856,7 @@ def solve_urdf_zero_offsets(
                 if maximum_cone_mismatch > maximum_axis_cone_mismatch_rad:
                     cone_range = float(np.ptp(cone_mismatches))
                     stable_product_bias = bool(
-                        profile.hand.supports("stable_cross_view_cone_bias")
+                        profile.hand.stable_cross_view_cone_bias
                         and maximum_systematic_axis_cone_bias_rad is not None
                         and len(cone_mismatches) >= 4
                         and maximum_cone_mismatch
@@ -4454,6 +4460,7 @@ def write_zero_corrected_urdf(
     offsets_rad: Mapping[str, float],
     endpoint_anchored_offsets_rad: Mapping[str, float] | None = None,
     timestamp: str | None = None,
+    correction_plan: UrdfCorrectionPlan | None = None,
 ) -> Path:
     source = Path(source_urdf).expanduser().resolve()
     output = Path(output_directory).expanduser().resolve()
@@ -4475,6 +4482,15 @@ def write_zero_corrected_urdf(
     }
     if not set(endpoint_offsets) <= set(offsets):
         raise ValueError("endpoint-anchored offsets must be URDF zero targets")
+    if correction_plan is not None:
+        correction_plan.verify_source(source)
+        correction_plan.authorize_offsets(offsets)
+        if not set(endpoint_offsets).issubset(
+            correction_plan.endpoint_limit_joints
+        ):
+            raise ValueError(
+                "endpoint offsets are not authorized by the correction plan"
+            )
     if any(
         not math.isfinite(value) or abs(value) > math.radians(90.0)
         for value in offsets.values()

src/linkerhand_calibration/linkerhand_calibration/models/l6/__init__.py

@@ -0,0 +1,12 @@
+"""Registered L6 calibration profiles."""
+
+from ..registry import ProfileRegistry
+
+
+def register_profiles(registry: ProfileRegistry) -> None:
+    from .profile import build_profile
+
+    registry.register(build_profile())
+
+
+__all__ = ["register_profiles"]

src/linkerhand_calibration/linkerhand_calibration/models/l6/artifacts.py

@@ -0,0 +1,524 @@
+"""Schema-v6 runtime artifact and atomic partial-result publication for L6."""
+
+from __future__ import annotations
+
+import json
+import hashlib
+import math
+import os
+from pathlib import Path
+from typing import Any, Mapping, Sequence
+import xml.etree.ElementTree as ET
+
+import numpy as np
+
+from .fitting import L6FitResult
+from .profile import (
+    ACTIVE_JOINTS,
+    CALIBRATED_ACTIVE_JOINTS,
+    COMMAND_INDEX_BY_JOINT,
+    COMMAND_NAMES,
+    COUPLING_MODEL_BY_JOINT,
+    ENDPOINT_ANCHOR_BY_JOINT,
+    KEY,
+    MEASURED_PASSIVE_JOINTS,
+    MIMIC_SOURCE_BY_JOINT,
+    PASSIVE_JOINTS,
+    TRANSFERRED_ACTIVE_SOURCE_BY_JOINT,
+    TRANSFERRED_PASSIVE_SOURCE_BY_JOINT,
+    build_typed_profile,
+)
+
+
+ALL_REVOLUTE_JOINTS = frozenset(ACTIVE_JOINTS + PASSIVE_JOINTS)
+
+
+def _sha256_file(path: str | Path) -> str:
+    digest = hashlib.sha256()
+    with Path(path).open("rb") as stream:
+        for chunk in iter(lambda: stream.read(1024 * 1024), b""):
+            digest.update(chunk)
+    return digest.hexdigest()
+
+
+def _source_joint_metadata(
+    source_urdf: str | Path,
+) -> dict[str, dict[str, float | str]]:
+    root = ET.parse(Path(source_urdf)).getroot()
+    result: dict[str, dict[str, float | str]] = {}
+    for joint in root.findall("joint"):
+        name = str(joint.get("name", ""))
+        if name not in ALL_REVOLUTE_JOINTS:
+            continue
+        if joint.get("type") != "revolute":
+            raise ValueError(f"L6 profile joint is not revolute: {name}")
+        limit = joint.find("limit")
+        if limit is None:
+            raise ValueError(f"L6 source joint has no limit: {name}")
+        item: dict[str, float | str] = {
+            "lower": float(limit.get("lower", "nan")),
+            "upper": float(limit.get("upper", "nan")),
+        }
+        mimic = joint.find("mimic")
+        if mimic is not None:
+            item.update(
+                {
+                    "source_joint": str(mimic.get("joint", "")),
+                    "multiplier": float(mimic.get("multiplier", "nan")),
+                    "offset": float(mimic.get("offset", "0")),
+                }
+            )
+        result[name] = item
+    if set(result) != ALL_REVOLUTE_JOINTS:
+        raise ValueError("source URDF does not contain exactly 11 L6 revolute joints")
+    return result
+
+
+def _rounded_curve(values: Sequence[float]) -> list[float]:
+    curve = np.asarray(values, dtype=float)
+    if curve.shape != (256,) or not np.all(np.isfinite(curve)):
+        raise ValueError("runtime curve must contain 256 finite values")
+    return [round(float(value), 8) for value in curve]
+
+
+def _linear_curve(lower: float, upper: float) -> np.ndarray:
+    # feedback 255 is the open/lower endpoint and feedback 0 is upper/closed.
+    return np.linspace(float(upper), float(lower), 256, dtype=float)
+
+
+def _validate_transfer_topology(
+    source: Mapping[str, Mapping[str, float | str]],
+) -> None:
+    for transfers in (
+        TRANSFERRED_ACTIVE_SOURCE_BY_JOINT,
+        TRANSFERRED_PASSIVE_SOURCE_BY_JOINT,
+    ):
+        for target, donor in transfers.items():
+            for field in ("lower", "upper"):
+                if abs(
+                    float(source[target][field]) - float(source[donor][field])
+                ) > 1.0e-8:
+                    raise ValueError(
+                        f"L6 transfer {target} differs from {donor} {field}"
+                    )
+
+
+def build_l6_runtime_payload(
+    *,
+    serial_number: str,
+    source_urdf: str | Path,
+    result: L6FitResult,
+    protected_inputs: Mapping[str, str],
+    passed: bool = True,
+) -> dict[str, Any]:
+    """Build all eleven L6 curves with explicit measured/frozen provenance."""
+    profile = build_typed_profile()
+    source = _source_joint_metadata(source_urdf)
+    _validate_transfer_topology(source)
+    joints: dict[str, dict[str, Any]] = {}
+    curves: dict[str, np.ndarray] = {}
+
+    for name in ACTIVE_JOINTS:
+        metadata = source[name]
+        motor_index = COMMAND_INDEX_BY_JOINT[name]
+        measurement_source = TRANSFERRED_ACTIVE_SOURCE_BY_JOINT.get(
+            name, name
+        )
+        if (
+            name in CALIBRATED_ACTIVE_JOINTS
+            or name in TRANSFERRED_ACTIVE_SOURCE_BY_JOINT
+        ):
+            fit = result.curves[measurement_source]
+            decreasing = np.asarray(fit.decreasing_rad, dtype=float)
+            increasing = np.asarray(fit.increasing_rad, dtype=float)
+            curve = 0.5 * (decreasing + increasing)
+            curve -= float(curve[255])
+            decreasing = decreasing - float(decreasing[255])
+            increasing = increasing - float(increasing[255])
+            zero_method = result.zero_method_by_joint[measurement_source]
+            zero_angles: dict[str, Any] = {
+                "policy": zero_method,
+                "measured_travel_rad": round(
+                    float(result.travels_rad[measurement_source]), 8
+                ),
+                "urdf_origin_offset_rad": round(
+                    float(result.zero_offsets_rad[measurement_source]), 8
+                ),
+            }
+            if measurement_source in ENDPOINT_ANCHOR_BY_JOINT:
+                anchor = ENDPOINT_ANCHOR_BY_JOINT[measurement_source]
+                if anchor == "cad_range_center":
+                    zero_angles.update(
+                        {
+                            "source_lower_rad": round(
+                                float(metadata["lower"]), 8
+                            ),
+                            "source_upper_rad": round(
+                                float(metadata["upper"]), 8
+                            ),
+                        }
+                    )
+                else:
+                    endpoint_field = {
+                        "lower_at_start": "source_lower_rad",
+                        "upper_at_end": "source_upper_rad",
+                        "zero_at_start": "source_joint_zero_rad",
+                    }[anchor]
+                    endpoint_value = {
+                        "lower_at_start": metadata["lower"],
+                        "upper_at_end": metadata["upper"],
+                        "zero_at_start": 0.0,
+                    }[anchor]
+                    zero_angles[endpoint_field] = round(
+                        float(endpoint_value), 8
+                    )
+            if measurement_source in result.zero_fallback_reason_by_joint:
+                zero_angles["geometry_fallback_reason"] = (
+                    result.zero_fallback_reason_by_joint[measurement_source]
+                )
+            if name in TRANSFERRED_ACTIVE_SOURCE_BY_JOINT:
+                zero_angles.update(
+                    {
+                        "policy": "transferred_from_pinky",
+                        "transferred_from_joint": measurement_source,
+                    }
+                )
+        else:
+            curve = _linear_curve(
+                float(metadata["lower"]), float(metadata["upper"])
+            )
+            decreasing = curve.copy()
+            increasing = curve.copy()
+            zero_angles = {
+                "policy": "cad_nominal",
+                "source_lower_rad": round(float(metadata["lower"]), 8),
+                "source_upper_rad": round(float(metadata["upper"]), 8),
+            }
+        curves[name] = curve
+        joint_payload = {
+            "urdf_joint": name,
+            "sdk_channel": COMMAND_NAMES[motor_index],
+            "motor_index": motor_index,
+            "passive": False,
+            "calibration_status": profile.joint_coverage[name],
+            "zero_command_u8": 255,
+            "zero_angles": zero_angles,
+            "angle_rad": _rounded_curve(curve),
+            "decreasing_rad": _rounded_curve(decreasing),
+            "increasing_rad": _rounded_curve(increasing),
+        }
+        if name in TRANSFERRED_ACTIVE_SOURCE_BY_JOINT:
+            joint_payload["transferred_from_joint"] = measurement_source
+        joints[name] = joint_payload
+
+    for name in PASSIVE_JOINTS:
+        metadata = source[name]
+        source_name = MIMIC_SOURCE_BY_JOINT[name]
+        motor_index = COMMAND_INDEX_BY_JOINT[source_name]
+        measurement_source = TRANSFERRED_PASSIVE_SOURCE_BY_JOINT.get(
+            name, name
+        )
+        if (
+            name in MEASURED_PASSIVE_JOINTS
+            or name in TRANSFERRED_PASSIVE_SOURCE_BY_JOINT
+        ):
+            fit = result.curves[measurement_source]
+            decreasing = np.asarray(fit.decreasing_rad, dtype=float)
+            increasing = np.asarray(fit.increasing_rad, dtype=float)
+            curve = 0.5 * (decreasing + increasing)
+            curve -= float(curve[255])
+            decreasing = decreasing - float(decreasing[255])
+            increasing = increasing - float(increasing[255])
+            offset = float(metadata["offset"])
+            curve += offset
+            decreasing += offset
+            increasing += offset
+            coupling = result.mimic_fits[measurement_source]
+            coupling_model = coupling.model
+            coefficients = list(coupling.mujoco_polycoef)
+            coefficients[0] = offset
+            urdf_mimic_multiplier = coupling.urdf_mimic_multiplier
+            urdf_mimic_policy = coupling.urdf_mimic_policy
+        else:
+            multiplier = float(metadata["multiplier"])
+            offset = float(metadata["offset"])
+            curve = offset + multiplier * curves[source_name]
+            decreasing = curve.copy()
+            increasing = curve.copy()
+            coupling_model = "linear_mimic"
+            coefficients = [offset, multiplier, 0.0, 0.0, 0.0, 0.0]
+            urdf_mimic_multiplier = multiplier
+            urdf_mimic_policy = "cad_nominal"
+        joint_payload = {
+            "urdf_joint": name,
+            "sdk_channel": COMMAND_NAMES[motor_index],
+            "motor_index": motor_index,
+            "passive": True,
+            "source_joint": source_name,
+            "mimic_offset_rad": round(float(metadata["offset"]), 8),
+            "coupling_model": coupling_model,
+            "coupling_coefficients": [
+                round(float(value), 10) for value in coefficients
+            ],
+            "urdf_mimic_enabled": True,
+            "urdf_mimic_policy": urdf_mimic_policy,
+            "mimic_multiplier": round(float(urdf_mimic_multiplier), 8),
+            "calibration_status": profile.joint_coverage[name],
+            "zero_command_u8": 255,
+            "zero_angles": {"policy": "cad_static"},
+            "angle_rad": _rounded_curve(curve),
+            "decreasing_rad": _rounded_curve(decreasing),
+            "increasing_rad": _rounded_curve(increasing),
+        }
+        joints[name] = joint_payload
+        if name in TRANSFERRED_PASSIVE_SOURCE_BY_JOINT:
+            joint_payload["transferred_from_joint"] = measurement_source
+
+    errors = np.abs(
+        np.concatenate(
+            [np.asarray(values, dtype=float) for values in result.holdout_errors_rad.values()]
+        )
+    )
+    payload: dict[str, Any] = {
+        "schema_version": 6,
+        "profile_id": KEY.profile_id,
+        "layout_id": KEY.layout,
+        "model": "L6",
+        "side": "right",
+        "serial_number": str(serial_number),
+        "calibration_scope": "partial",
+        "publication_pointer": "latest_partial_passed",
+        "angle_unit": "rad",
+        "command_range": [0, 255],
+        "curve_input_domain": "feedback_u8",
+        "runtime_curve_policy": "direction_aware",
+        "command_names": list(COMMAND_NAMES),
+        "baseline_command_u8": [255] * 6,
+        "protected_inputs": dict(protected_inputs),
+        "joints": joints,
+        "quality": {
+            "passed": bool(passed),
+            "scope": "partial",
+            "validation_mae_rad": round(float(np.mean(errors)), 8),
+            "validation_p95_rad": round(float(np.percentile(errors, 95.0)), 8),
+            "validation_max_rad": round(float(np.max(errors)), 8),
+            "thumb_axis_zero": (
+                None
+                if result.thumb_zero_result is None
+                else {
+                    "method": (
+                        "hybrid_axis_geometry_cad_range_center"
+                        if result.zero_fallback_reason_by_joint
+                        else "g20_serial_axis_geometry"
+                    ),
+                    "passed": bool(result.thumb_zero_result.passed),
+                    "geometry_fallback_reasons": dict(
+                        sorted(result.zero_fallback_reason_by_joint.items())
+                    ),
+                    "axis_line_rms_m": round(
+                        float(result.thumb_zero_result.axis_line_rms_m), 10
+                    ),
+                    "offsets_rad": {
+                        name: round(float(value), 10)
+                        for name, value in sorted(
+                            result.thumb_zero_result.direct_offsets_rad.items()
+                        )
+                    },
+                    "cycle_offsets_rad": {
+                        name: [round(float(value), 10) for value in values]
+                        for name, values in sorted(
+                            result.thumb_zero_result.cycle_offsets_rad.items()
+                        )
+                    },
+                    "validation_error_by_joint_rad": {
+                        name: round(float(value), 10)
+                        for name, value in sorted(
+                            result.thumb_zero_result.validation_error_by_joint_rad.items()
+                        )
+                    },
+                }
+            ),
+        },
+    }
+    validate_l6_runtime_payload(payload)
+    return payload
+
+
+def validate_l6_runtime_payload(payload: Mapping[str, Any]) -> None:
+    required_top = {
+        "schema_version", "profile_id", "layout_id", "model", "side",
+        "serial_number", "calibration_scope", "publication_pointer",
+        "angle_unit", "command_range", "curve_input_domain",
+        "runtime_curve_policy", "command_names", "baseline_command_u8",
+        "protected_inputs", "joints", "quality",
+    }
+    if set(payload) != required_top:
+        raise ValueError("schema v6 calibration has unexpected top-level fields")
+    if (
+        payload["schema_version"] != 6
+        or payload["profile_id"] != KEY.profile_id
+        or payload["model"] != "L6"
+        or payload["side"] != "right"
+        or payload["calibration_scope"] != "partial"
+    ):
+        raise ValueError("schema v6 identity is invalid")
+    if payload["publication_pointer"] != "latest_partial_passed":
+        raise ValueError("L6 partial result has the wrong publication pointer")
+    if payload["curve_input_domain"] != "feedback_u8":
+        raise ValueError("schema v6 must be indexed by feedback_u8")
+    if payload["runtime_curve_policy"] != "direction_aware":
+        raise ValueError("schema v6 must retain both motion directions")
+    if payload["angle_unit"] != "rad" or payload["command_range"] != [0, 255]:
+        raise ValueError("schema v6 units are invalid")
+    if tuple(payload["command_names"]) != COMMAND_NAMES:
+        raise ValueError("schema v6 command channel order is invalid")
+    if payload["baseline_command_u8"] != [255] * 6:
+        raise ValueError("schema v6 baseline must be six open commands")
+    protected = payload["protected_inputs"]
+    expected_hashes = {
+        "source_urdf_sha256", "camera_extrinsics_sha256",
+        "calibration_config_sha256", "tag_config_sha256",
+    }
+    if not isinstance(protected, Mapping) or set(protected) != expected_hashes:
+        raise ValueError("schema v6 protected inputs are incomplete")
+    if any(
+        len(str(value)) != 64
+        or any(char not in "0123456789abcdef" for char in str(value))
+        for value in protected.values()
+    ):
+        raise ValueError("schema v6 protected input hash is invalid")
+    joints = payload["joints"]
+    if not isinstance(joints, Mapping) or set(joints) != ALL_REVOLUTE_JOINTS:
+        raise ValueError("schema v6 must contain all 11 L6 revolute joints")
+    profile = build_typed_profile()
+    for name in ACTIVE_JOINTS + PASSIVE_JOINTS:
+        joint = joints[name]
+        motor = COMMAND_INDEX_BY_JOINT[
+            MIMIC_SOURCE_BY_JOINT.get(name, name)
+        ]
+        if joint.get("urdf_joint") != name or int(joint.get("motor_index", -1)) != motor:
+            raise ValueError(f"{name} has an invalid URDF/SDK mapping")
+        if joint.get("sdk_channel") != COMMAND_NAMES[motor]:
+            raise ValueError(f"{name} has an invalid SDK channel")
+        if joint.get("calibration_status") != profile.joint_coverage[name]:
+            raise ValueError(f"{name} has an invalid coverage status")
+        if joint.get("passive") is not (name in PASSIVE_JOINTS):
+            raise ValueError(f"{name} passive flag is invalid")
+        if joint.get("zero_command_u8") != 255:
+            raise ValueError(f"{name} zero command must be 255")
+        for field in ("angle_rad", "decreasing_rad", "increasing_rad"):
+            curve = np.asarray(joint.get(field), dtype=float)
+            if curve.shape != (256,) or not np.all(np.isfinite(curve)):
+                raise ValueError(f"{name}.{field} must contain 256 finite values")
+            if np.any(np.diff(curve) > 1.0e-7):
+                raise ValueError(f"{name}.{field} must be non-increasing")
+        if name in PASSIVE_JOINTS:
+            if joint.get("source_joint") != MIMIC_SOURCE_BY_JOINT[name]:
+                raise ValueError(f"{name} mimic source is invalid")
+            model = str(joint.get("coupling_model", ""))
+            expected_model = COUPLING_MODEL_BY_JOINT.get(
+                name, "linear_mimic"
+            )
+            if model != expected_model:
+                raise ValueError(f"{name} coupling model is invalid")
+            coefficients = np.asarray(
+                joint.get("coupling_coefficients"), dtype=float
+            )
+            if coefficients.shape != (6,) or not np.all(
+                np.isfinite(coefficients)
+            ):
+                raise ValueError(f"{name} coupling coefficients are invalid")
+            enabled = joint.get("urdf_mimic_enabled")
+            if enabled is not True:
+                raise ValueError(f"{name} URDF mimic policy is invalid")
+            expected_policy = (
+                "endpoint_linear_fallback"
+                if model == "quadratic_runtime"
+                else "exact_linear"
+                if name in MEASURED_PASSIVE_JOINTS
+                else "cad_nominal"
+            )
+            # Early schema-v6 linear artifacts predate the explicit policy
+            # label; their unambiguous model/coverage combination remains
+            # readable.  New writers always materialize the field.
+            policy = str(
+                joint.get("urdf_mimic_policy", expected_policy)
+            )
+            if policy != expected_policy:
+                raise ValueError(f"{name} URDF mimic fallback is invalid")
+            multiplier = float(joint.get("mimic_multiplier", "nan"))
+            if not math.isfinite(multiplier) or multiplier <= 0.0:
+                raise ValueError(f"{name} mimic multiplier is invalid")
+            if model == "linear_mimic":
+                if abs(multiplier - coefficients[1]) > 1.0e-7:
+                    raise ValueError(f"{name} mimic multiplier is inconsistent")
+                if np.any(np.abs(coefficients[2:]) > 1.0e-10):
+                    raise ValueError(f"{name} linear mimic is not linear")
+            if abs(float(coefficients[0]) - float(
+                joint.get("mimic_offset_rad", "nan")
+            )) > 1.0e-7:
+                raise ValueError(f"{name} coupling offset is inconsistent")
+        transferred_from = (
+            TRANSFERRED_ACTIVE_SOURCE_BY_JOINT.get(name)
+            or TRANSFERRED_PASSIVE_SOURCE_BY_JOINT.get(name)
+        )
+        if transferred_from is not None:
+            if joint.get("transferred_from_joint") != transferred_from:
+                raise ValueError(f"{name} transfer provenance is invalid")
+            donor = joints[transferred_from]
+            for field in ("angle_rad", "decreasing_rad", "increasing_rad"):
+                if joint[field] != donor[field]:
+                    raise ValueError(f"{name} transfer curve differs from donor")
+    quality = payload["quality"]
+    if not isinstance(quality, Mapping) or quality.get("scope") != "partial":
+        raise ValueError("schema v6 quality scope must be partial")
+    if quality.get("passed") is not True:
+        raise ValueError("schema v6 quality.passed must be true")
+
+
+def atomic_write_json(path: str | Path, payload: Mapping[str, Any]) -> Path:
+    destination = Path(path).resolve()
+    destination.parent.mkdir(parents=True, exist_ok=True)
+    temporary = destination.with_name(f".{destination.name}.{os.getpid()}.tmp")
+    try:
+        with temporary.open("w", encoding="utf-8") as stream:
+            json.dump(payload, stream, ensure_ascii=False, indent=2, sort_keys=True)
+            stream.write("\n")
+            stream.flush()
+            os.fsync(stream.fileno())
+        os.replace(temporary, destination)
+    finally:
+        if temporary.exists():
+            temporary.unlink()
+    return destination
+
+
+def publish_partial_session(serial_root: str | Path, session: str | Path) -> Path:
+    parent = Path(serial_root).resolve()
+    target = Path(session).resolve()
+    if target.parent != parent or not target.is_dir():
+        raise ValueError("partial session must be a direct existing child")
+    destination = parent / "latest_partial_passed"
+    temporary = parent / f".latest_partial_passed.{os.getpid()}.tmp"
+    if temporary.exists() or temporary.is_symlink():
+        temporary.unlink()
+    os.symlink(target.name, temporary, target_is_directory=True)
+    os.replace(temporary, destination)
+    return destination
+
+
+def artifact_hashes(json_path: str | Path, urdf_path: str | Path) -> dict[str, str]:
+    return {
+        "calibration_json_sha256": _sha256_file(json_path),
+        "corrected_urdf_sha256": _sha256_file(urdf_path),
+    }
+
+
+__all__ = [
+    "ALL_REVOLUTE_JOINTS",
+    "artifact_hashes",
+    "atomic_write_json",
+    "build_l6_runtime_payload",
+    "publish_partial_session",
+    "validate_l6_runtime_payload",
+]

src/linkerhand_calibration/linkerhand_calibration/models/l6/fitting.py

@@ -0,0 +1,708 @@
+"""L6 curve, endpoint-zero, holdout, and mimic fitting."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+import math
+from pathlib import Path
+from typing import Mapping, Sequence
+import xml.etree.ElementTree as ET
+
+import numpy as np
+from scipy.optimize import least_squares
+
+from ..g20.profile import (
+    HandCalibrationProfile,
+    JointCurveFit,
+    JointSpec,
+)
+from ..g20.zero_solver import (
+    ZeroCalibrationProfile,
+    ZeroSolveResult,
+    fit_joint_axis_measurement,
+    fit_rotation_joint_curve,
+    rotation_curve_holdout_errors,
+    solve_urdf_zero_offsets,
+    with_depth_free_axis_projection,
+)
+from .profile import (
+    CALIBRATED_ACTIVE_JOINTS,
+    COMMAND_INDEX_BY_JOINT,
+    COMMAND_NAMES,
+    COUPLING_MODEL_BY_JOINT,
+    ENDPOINT_ANCHOR_BY_JOINT,
+    KEY,
+    MEASURED_PASSIVE_JOINTS,
+    MIMIC_SOURCE_BY_JOINT,
+)
+
+
+@dataclass(frozen=True)
+class MimicFit:
+    source_joint: str
+    target_joint: str
+    model: str
+    coefficients: tuple[float, ...]
+    urdf_mimic_multiplier: float
+    urdf_mimic_policy: str
+    cycle_coefficients: tuple[tuple[float, ...], ...]
+    maximum_cycle_range: float
+    maximum_cycle_prediction_range_rad: float
+    residual_rms_rad: float
+    residual_p95_rad: float
+    residual_max_rad: float
+
+    @property
+    def multiplier(self) -> float:
+        """Linear term retained for compatible diagnostics and artifacts."""
+        return float(self.coefficients[0])
+
+    @property
+    def cycle_multipliers(self) -> tuple[float, ...]:
+        return tuple(float(values[0]) for values in self.cycle_coefficients)
+
+    @property
+    def mujoco_polycoef(self) -> tuple[float, ...]:
+        """MuJoCo q_target = p0 + p1*q_source + ... coefficients."""
+        return (0.0, *self.coefficients, *(0.0,) * (5 - len(self.coefficients)))
+
+
+@dataclass(frozen=True)
+class L6FitResult:
+    curves: Mapping[str, JointCurveFit]
+    zero_offsets_rad: Mapping[str, float]
+    travels_rad: Mapping[str, float]
+    mimic_fits: Mapping[str, MimicFit]
+    holdout_errors_rad: Mapping[str, tuple[float, ...]]
+    zero_method_by_joint: Mapping[str, str]
+    zero_fallback_reason_by_joint: Mapping[str, str]
+    thumb_zero_result: ZeroSolveResult | None = None
+
+
+L6_THUMB_AXIS_JOINTS: tuple[str, ...] = (
+    "rh_thumb_cmc_roll",
+    "rh_thumb_cmc_pitch",
+    "rh_thumb_dip",
+    "rh_pinky_mcp_pitch",
+)
+
+
+def _l6_thumb_zero_profile() -> ZeroCalibrationProfile:
+    """Describe the observable L6 thumb/palm axis graph to the G20 solver."""
+    joint_specs = {
+        "rh_thumb_cmc_roll": JointSpec(
+            "rh_thumb_cmc_roll", 1, True, "top", "top_base", "thumb_roll"
+        ),
+        "rh_thumb_cmc_pitch": JointSpec(
+            "rh_thumb_cmc_pitch", 0, True, "front", "front_base", "thumb_pitch"
+        ),
+        "rh_thumb_dip": JointSpec(
+            "rh_thumb_dip", 0, False, "front", "thumb_pitch", "thumb_dip"
+        ),
+        # This root axis fixes the palm-frame phase around the thumb roll axis.
+        # Its electrical zero is irrelevant because rotating a revolute joint
+        # does not change its own physical screw axis.
+        "rh_pinky_mcp_pitch": JointSpec(
+            "rh_pinky_mcp_pitch", 5, True, "side", "side_base", "pinky_pitch"
+        ),
+    }
+    hand = HandCalibrationProfile(
+        side="right",
+        reference_finger="pinky",
+        view_tags={},
+        preflight_view_roles={},
+        joint_specs=joint_specs,
+        sweep_specs=(),
+        image_trajectory_joints=frozenset(),
+        roll_clearance_commands={},
+        thumb_pitch_clearance_commands={},
+        layout_id=KEY.layout,
+        model="L6",
+        command_names=COMMAND_NAMES,
+        baseline_command=(255,) * 6,
+        directional_zero=True,
+        isolated_holdout=True,
+    )
+    return ZeroCalibrationProfile(
+        hand=hand,
+        direct_zero_joints=(
+            "rh_thumb_cmc_roll",
+            "rh_thumb_cmc_pitch",
+        ),
+        axis_joints=L6_THUMB_AXIS_JOINTS,
+        inherited_zero_joints={},
+        inherited_static_zero_joints={},
+        constrained_circle_joints=frozenset(L6_THUMB_AXIS_JOINTS),
+        root_anchor_joints=frozenset({"rh_thumb_cmc_roll"}),
+        axis_parent_joint={
+            "rh_thumb_cmc_pitch": "rh_thumb_cmc_roll",
+        },
+        phase_parent_joint={
+            "rh_thumb_dip": "rh_thumb_cmc_pitch",
+        },
+        offset_observer_joint={
+            "rh_thumb_cmc_roll": "rh_thumb_cmc_pitch",
+            "rh_thumb_cmc_pitch": "rh_thumb_dip",
+        },
+        same_view_axis_pair_by_offset={},
+        fixed_direct_zero_offsets_rad={},
+        static_output_zero_offsets_rad={},
+        base_pose_strategy="thumb_serial",
+        orientation_anchor_joint="rh_pinky_mcp_pitch",
+    )
+
+
+def curve_travel_rad(fit: JointCurveFit) -> float:
+    decreasing = float(fit.decreasing_rad[0] - fit.decreasing_rad[255])
+    increasing = float(fit.increasing_rad[0] - fit.increasing_rad[255])
+    travel = 0.5 * (decreasing + increasing)
+    if not math.isfinite(travel) or travel <= 0.0:
+        raise ValueError("L6 fitted travel must be finite and positive")
+    return travel
+
+
+def derive_endpoint_zero_offsets(
+    source_urdf: str | Path,
+    curves: Mapping[str, JointCurveFit],
+    *,
+    endpoint_anchor_by_joint: Mapping[str, str] | None = None,
+    maximum_offset_rad: float = math.radians(15.0),
+) -> tuple[dict[str, float], dict[str, float]]:
+    """Anchor each measured joint to its profile-selected CAD endpoint.
+
+    Every published dynamic curve is zero at feedback 255.  ``upper_at_end``
+    rotates the static frame by ``source_upper - measured_travel`` so feedback
+    0 lands on the CAD upper endpoint.  ``lower_at_start`` rotates it by the
+    source lower value so feedback 255 lands on the CAD lower endpoint.
+    ``cad_range_center`` splits a source-vs-measured travel discrepancy equally
+    between the two endpoints when neither source endpoint is a trusted datum.
+    ``zero_at_start`` keeps the CAD joint frame itself at feedback 255.  All
+    policies publish the normalized corrected coordinate [0, measured travel].
+    """
+    joints = {
+        str(joint.get("name")): joint
+        for joint in ET.parse(Path(source_urdf)).getroot().findall("joint")
+    }
+    offsets: dict[str, float] = {}
+    travels: dict[str, float] = {}
+    anchors = endpoint_anchor_by_joint or dict(ENDPOINT_ANCHOR_BY_JOINT)
+    if not anchors or not set(anchors).issubset(CALIBRATED_ACTIVE_JOINTS):
+        raise ValueError("L6 endpoint anchors must target measured active joints")
+    for name in sorted(CALIBRATED_ACTIVE_JOINTS):
+        if name not in curves:
+            raise ValueError(f"missing measured L6 curve: {name}")
+        joint = joints.get(name)
+        limit = None if joint is None else joint.find("limit")
+        if (
+            limit is None
+            or limit.get("upper") is None
+            or limit.get("lower") is None
+        ):
+            raise ValueError(f"source URDF joint has incomplete limits: {name}")
+        travel = curve_travel_rad(curves[name])
+        travels[name] = travel
+        if name not in anchors:
+            continue
+        policy = str(anchors[name])
+        if policy == "upper_at_end":
+            offset = float(limit.get("upper")) - travel
+        elif policy == "lower_at_start":
+            offset = float(limit.get("lower"))
+        elif policy == "cad_range_center":
+            offset = 0.5 * (
+                float(limit.get("lower"))
+                + float(limit.get("upper"))
+                - travel
+            )
+        elif policy == "zero_at_start":
+            offset = 0.0
+        else:
+            raise ValueError(f"unsupported L6 endpoint anchor: {policy}")
+        if not math.isfinite(offset) or abs(offset) > maximum_offset_rad:
+            raise ValueError(
+                f"{name} endpoint zero offset exceeds 15 degrees: "
+                f"{math.degrees(offset):.3f}"
+            )
+        offsets[name] = offset
+    return offsets, travels
+
+
+def _has_complete_axis_geometry(
+    records_by_joint: Mapping[str, Sequence[Mapping[str, object]]],
+) -> bool:
+    required = {
+        "relative_translation_xyz_m",
+        "parent_pose_common",
+        "child_pose_common",
+        "view_normal_common_xyz",
+        "camera_center_common_xyz_m",
+        "state_u8",
+    }
+    return all(
+        rows and all(required.issubset(row) for row in rows)
+        for name in L6_THUMB_AXIS_JOINTS
+        for rows in (records_by_joint.get(name, ()),)
+    )
+
+
+def _fit_l6_thumb_axis_zero(
+    source_urdf: str | Path,
+    records_by_joint: Mapping[str, Sequence[Mapping[str, object]]],
+    curves: Mapping[str, JointCurveFit],
+    *,
+    fixed_direct_zero_offsets_rad: Mapping[str, float] | None = None,
+    require_passed: bool = True,
+) -> ZeroSolveResult:
+    """Recover thumb roll/pitch zeros from four physical screw axes."""
+    profile = _l6_thumb_zero_profile()
+    measurements = []
+    by_key: dict[tuple[str, int], object] = {}
+    for cycle in range(4):
+        # Fit the two root/reference axes before the serial passive observer.
+        for name in (
+            "rh_thumb_cmc_roll",
+            "rh_thumb_cmc_pitch",
+            "rh_pinky_mcp_pitch",
+        ):
+            rows = records_by_joint[name]
+            view_normal = rows[0]["view_normal_common_xyz"]
+            measurement = fit_joint_axis_measurement(
+                name,
+                rows,
+                cycle=cycle,
+                zero_command_u8=255,
+                constrained_circle_joints=profile.constrained_circle_joints,
+                view_normal_common_xyz=view_normal,
+                canonical_zero_direction="decreasing",
+            )
+            measurement = with_depth_free_axis_projection(
+                measurement,
+                rows[0]["camera_center_common_xyz_m"],
+            )
+            measurements.append(measurement)
+            by_key[(name, cycle)] = measurement
+
+        dip_rows = records_by_joint["rh_thumb_dip"]
+        pitch_axis = by_key[("rh_thumb_cmc_pitch", cycle)]
+        dip = fit_joint_axis_measurement(
+            "rh_thumb_dip",
+            dip_rows,
+            cycle=cycle,
+            zero_command_u8=255,
+            axis_common_constraint=pitch_axis.axis_common_xyz,
+            constrained_circle_joints=profile.constrained_circle_joints,
+            view_normal_common_xyz=dip_rows[0]["view_normal_common_xyz"],
+            canonical_zero_direction="decreasing",
+        )
+        dip = with_depth_free_axis_projection(
+            dip,
+            dip_rows[0]["camera_center_common_xyz_m"],
+        )
+        measurements.append(dip)
+
+    result = solve_urdf_zero_offsets(
+        source_urdf=source_urdf,
+        measurements=measurements,
+        curves=curves,
+        motor_by_joint={
+            name: COMMAND_INDEX_BY_JOINT[
+                MIMIC_SOURCE_BY_JOINT.get(name, name)
+            ]
+            for name in L6_THUMB_AXIS_JOINTS
+        },
+        training_cycles=(0, 1, 2),
+        validation_cycle=3,
+        maximum_offset_rad=math.radians(15.0),
+        finger_maximum_offset_rad=math.radians(15.0),
+        joint_maximum_offset_rad={
+            "rh_thumb_cmc_roll": math.radians(15.0),
+            "rh_thumb_cmc_pitch": math.radians(15.0),
+        },
+        maximum_cycle_difference_rad=math.radians(0.75),
+        minimum_applied_offset_rad=math.radians(0.1),
+        maximum_validation_mae_rad=math.radians(1.0),
+        maximum_validation_p95_rad=math.radians(2.0),
+        maximum_validation_error_rad=math.radians(3.0),
+        maximum_confidence_half_width_rad=math.radians(1.0),
+        maximum_pose_axis_line_rms_m=0.0015,
+        hand_type="right",
+        tag_layout=KEY.layout,
+        fixed_direct_zero_offsets_rad=fixed_direct_zero_offsets_rad,
+        zero_profile=profile,
+    )
+    if require_passed and not result.passed:
+        details = ",".join(
+            f"{name}={reason}"
+            for name, reason in sorted(result.failure_reasons.items())
+        )
+        raise ValueError("L6 thumb axis zero solve failed:" + details)
+    return result
+
+
+def _coupling_regression(
+    active: Sequence[float], passive: Sequence[float], *, degree: int
+) -> tuple[tuple[float, ...], np.ndarray]:
+    x = np.asarray(active, dtype=float)
+    y = np.asarray(passive, dtype=float)
+    if x.shape != y.shape or x.ndim != 1 or x.size < 16:
+        raise ValueError("mimic curves must be aligned finite vectors")
+    if not np.all(np.isfinite(x)) or not np.all(np.isfinite(y)):
+        raise ValueError("mimic curves must be finite")
+    if degree not in {1, 2}:
+        raise ValueError("L6 coupling degree must be one or two")
+    if float(x @ x) <= 1.0e-9:
+        raise ValueError("active mimic source has insufficient travel")
+    design = np.column_stack([x ** power for power in range(1, degree + 1)])
+    initial = np.linalg.lstsq(design, y, rcond=None)[0]
+    scale = max(
+        math.radians(0.25),
+        float(np.median(np.abs(y - design @ initial))),
+    )
+    fitted = least_squares(
+        lambda value: y - design @ value,
+        np.asarray(initial, dtype=float),
+        loss="soft_l1",
+        f_scale=scale,
+    )
+    if not fitted.success or not np.all(np.isfinite(fitted.x)):
+        raise ValueError("robust through-origin mimic regression failed")
+    coefficients = tuple(float(value) for value in fitted.x)
+    grid = np.linspace(0.0, float(np.max(x)), 256)
+    derivative = np.full_like(grid, coefficients[0])
+    if degree == 2:
+        derivative += 2.0 * coefficients[1] * grid
+    if float(np.min(derivative)) < -1.0e-7:
+        raise ValueError("L6 coupling model is not monotonic")
+    return coefficients, y - design @ fitted.x
+
+
+def fit_coupling_model(
+    source_joint: str,
+    target_joint: str,
+    active_fit: JointCurveFit,
+    passive_fit: JointCurveFit,
+    *,
+    model: str,
+    cycle_curve_pairs: Sequence[
+        tuple[Sequence[float], Sequence[float]]
+    ] = (),
+    minimum_multiplier: float = 0.5,
+    maximum_multiplier: float = 1.5,
+    maximum_cycle_range: float = 0.03,
+    maximum_cycle_prediction_range_rad: float = math.radians(1.0),
+    maximum_residual_p95_rad: float = math.radians(2.0),
+    maximum_residual_rad: float = math.radians(3.0),
+) -> MimicFit:
+    if model not in {"linear_mimic", "quadratic_runtime"}:
+        raise ValueError(f"unsupported L6 coupling model: {model}")
+    degree = 1 if model == "linear_mimic" else 2
+    active = np.concatenate(
+        (
+            np.asarray(active_fit.decreasing_rad, dtype=float),
+            np.asarray(active_fit.increasing_rad, dtype=float),
+        )
+    )
+    passive = np.concatenate(
+        (
+            np.asarray(passive_fit.decreasing_rad, dtype=float),
+            np.asarray(passive_fit.increasing_rad, dtype=float),
+        )
+    )
+    coefficients, residual = _coupling_regression(
+        active, passive, degree=degree
+    )
+    multiplier = coefficients[0]
+    if not minimum_multiplier <= multiplier <= maximum_multiplier:
+        raise ValueError(
+            f"{target_joint} coupling linear term is outside [0.5, 1.5]"
+        )
+    cycle_coefficients = tuple(
+        _coupling_regression(
+            active_cycle, passive_cycle, degree=degree
+        )[0]
+        for active_cycle, passive_cycle in cycle_curve_pairs
+    )
+    cycle_multipliers = tuple(values[0] for values in cycle_coefficients)
+    cycle_range = (
+        0.0
+        if len(cycle_multipliers) < 2
+        else float(max(cycle_multipliers) - min(cycle_multipliers))
+    )
+    if cycle_range > maximum_cycle_range:
+        raise ValueError(
+            f"{target_joint} coupling linear-term cycle range exceeds 0.03"
+        )
+    cycle_prediction_range = 0.0
+    if len(cycle_coefficients) >= 2:
+        grid = np.linspace(0.0, float(np.max(active)), 256)
+        predictions = np.asarray(
+            [
+                sum(value * grid ** (index + 1) for index, value in enumerate(values))
+                for values in cycle_coefficients
+            ]
+        )
+        cycle_prediction_range = float(
+            np.max(np.ptp(predictions, axis=0))
+        )
+    if cycle_prediction_range > maximum_cycle_prediction_range_rad:
+        raise ValueError(
+            f"{target_joint} coupling cycle prediction range exceeds 1 degree"
+        )
+    absolute = np.abs(residual)
+    rms = float(np.sqrt(np.mean(np.square(residual))))
+    p95 = float(np.percentile(absolute, 95.0))
+    maximum = float(np.max(absolute))
+    if p95 > maximum_residual_p95_rad or maximum > maximum_residual_rad:
+        raise ValueError(
+            "coupling_residual_exceeds:"
+            f"joint={target_joint}:model={model}:"
+            f"linear_term={multiplier:.6f}:"
+            f"p95_deg={math.degrees(p95):.3f}:"
+            f"maximum_deg={math.degrees(maximum):.3f}:"
+            f"p95_limit_deg={math.degrees(maximum_residual_p95_rad):.3f}:"
+            f"maximum_limit_deg={math.degrees(maximum_residual_rad):.3f}"
+        )
+    return MimicFit(
+        source_joint=source_joint,
+        target_joint=target_joint,
+        model=model,
+        coefficients=coefficients,
+        # Standard URDF has only a linear mimic.  For a nonlinear coupling,
+        # preserve the familiar editor/RViz linkage with a fallback line that
+        # is exact at both the open zero and measured closed endpoint.  The
+        # direction-aware runtime curves and MuJoCo polynomial remain exact in
+        # between those endpoints.
+        urdf_mimic_multiplier=(
+            multiplier
+            if model == "linear_mimic"
+            else curve_travel_rad(passive_fit) / curve_travel_rad(active_fit)
+        ),
+        urdf_mimic_policy=(
+            "exact_linear"
+            if model == "linear_mimic"
+            else "endpoint_linear_fallback"
+        ),
+        cycle_coefficients=cycle_coefficients,
+        maximum_cycle_range=cycle_range,
+        maximum_cycle_prediction_range_rad=cycle_prediction_range,
+        residual_rms_rad=rms,
+        residual_p95_rad=p95,
+        residual_max_rad=maximum,
+    )
+
+
+def fit_mimic_multiplier(
+    source_joint: str,
+    target_joint: str,
+    active_fit: JointCurveFit,
+    passive_fit: JointCurveFit,
+    *,
+    cycle_curve_pairs: Sequence[
+        tuple[Sequence[float], Sequence[float]]
+    ] = (),
+    minimum_multiplier: float = 0.5,
+    maximum_multiplier: float = 1.5,
+    maximum_cycle_range: float = 0.03,
+    maximum_residual_p95_rad: float = math.radians(2.0),
+    maximum_residual_rad: float = math.radians(3.0),
+) -> MimicFit:
+    return fit_coupling_model(
+        source_joint,
+        target_joint,
+        active_fit,
+        passive_fit,
+        model="linear_mimic",
+        cycle_curve_pairs=cycle_curve_pairs,
+        minimum_multiplier=minimum_multiplier,
+        maximum_multiplier=maximum_multiplier,
+        maximum_cycle_range=maximum_cycle_range,
+        maximum_residual_p95_rad=maximum_residual_p95_rad,
+        maximum_residual_rad=maximum_residual_rad,
+    )
+
+
+def fit_l6_session(
+    source_urdf: str | Path,
+    records_by_joint: Mapping[str, Sequence[Mapping[str, object]]],
+    *,
+    require_thumb_axis_zero: bool = False,
+) -> L6FitResult:
+    """Fit three training cycles and validate the isolated fourth cycle."""
+    expected = CALIBRATED_ACTIVE_JOINTS | MEASURED_PASSIVE_JOINTS
+    if set(records_by_joint) != expected:
+        raise ValueError("L6 records must contain exactly five measured joints")
+    curves: dict[str, JointCurveFit] = {}
+    holdout: dict[str, tuple[float, ...]] = {}
+    cycle_curves: dict[str, dict[int, JointCurveFit]] = {}
+    for name in sorted(expected):
+        rows = [dict(row) for row in records_by_joint[name]]
+        training = [row for row in rows if int(row["cycle"]) in {0, 1, 2}]
+        validation = [row for row in rows if int(row["cycle"]) == 3]
+        if not training or not validation:
+            raise ValueError(f"{name} is missing training or holdout records")
+        fit = fit_rotation_joint_curve(training, zero_command_u8=255)
+        errors = rotation_curve_holdout_errors(
+            fit, validation, zero_command_u8=255
+        )
+        absolute = np.abs(np.asarray(errors, dtype=float))
+        if (
+            float(np.mean(absolute)) > math.radians(1.0)
+            or float(np.percentile(absolute, 95.0)) > math.radians(2.0)
+            or float(np.max(absolute)) > math.radians(3.0)
+        ):
+            raise ValueError(f"{name} isolated holdout failed")
+        correction_limit = math.radians(
+            3.0 if name in MEASURED_PASSIVE_JOINTS else 2.0
+        )
+        if fit.maximum_monotonic_correction_rad > correction_limit:
+            raise ValueError(f"{name} monotonic correction exceeds limit")
+        if fit.maximum_hysteresis_rad > math.radians(2.0):
+            raise ValueError(f"{name} hysteresis exceeds 2 degrees")
+        curves[name] = fit
+        holdout[name] = errors
+        cycle_curves[name] = {
+            cycle: fit_rotation_joint_curve(
+                [row for row in training if int(row["cycle"]) == cycle],
+                zero_command_u8=255,
+            )
+            for cycle in (0, 1, 2)
+        }
+    endpoint_offsets, travels = derive_endpoint_zero_offsets(
+        source_urdf,
+        curves,
+        endpoint_anchor_by_joint=ENDPOINT_ANCHOR_BY_JOINT,
+    )
+    thumb_zero_result: ZeroSolveResult | None = None
+    offsets = {
+        "rh_thumb_cmc_roll": 0.0,
+        "rh_thumb_cmc_pitch": endpoint_offsets["rh_thumb_cmc_pitch"],
+        **endpoint_offsets,
+    }
+    pinky_endpoint_method = {
+        "upper_at_end": "mechanical_upper_endpoint",
+        "lower_at_start": "mechanical_lower_endpoint",
+        "cad_range_center": "cad_range_center",
+        "zero_at_start": "source_joint_zero",
+    }[ENDPOINT_ANCHOR_BY_JOINT["rh_pinky_mcp_pitch"]]
+    zero_methods = {
+        "rh_thumb_cmc_roll": "source_joint_zero_unpublished",
+        "rh_thumb_cmc_pitch": "cad_range_center_unpublished",
+        "rh_pinky_mcp_pitch": pinky_endpoint_method,
+    }
+    zero_fallback_reasons: dict[str, str] = {}
+    has_axis_geometry = _has_complete_axis_geometry(records_by_joint)
+    if require_thumb_axis_zero and not has_axis_geometry:
+        raise ValueError(
+            "L6 thumb absolute zero requires G20-compatible common-frame "
+            "Tag pose trajectories; this session must be reacquired"
+        )
+    if has_axis_geometry:
+        geometric_result = _fit_l6_thumb_axis_zero(
+            source_urdf,
+            records_by_joint,
+            curves,
+            require_passed=False,
+        )
+        thumb_zero_result = geometric_result
+        pitch_failure = geometric_result.failure_reasons.get(
+            "rh_thumb_cmc_pitch"
+        )
+        endpoint_fallback_reasons = {
+            "zero_offset_exceeds_configured_limit",
+            "zero_offset_reached_diagnostic_bound",
+        }
+        if (
+            not geometric_result.passed
+            and set(geometric_result.failure_reasons)
+            == {"rh_thumb_cmc_pitch"}
+            and pitch_failure in endpoint_fallback_reasons
+        ):
+            # L6_RIGHT_001 demonstrated a stable pitch-to-DIP axis-line phase
+            # beyond the diagnostic search bound.  That phase includes
+            # physical link geometry and is not a safe encoder-zero observation
+            # when it contradicts both the reviewed endpoint and the +/-15 deg
+            # write limit.  Keep roll geometric, but freeze pitch to its
+            # independent measured/CAD range-centre datum.  Any roll,
+            # holdout, cone, confidence, or multi-joint failure remains a hard
+            # rejection.
+            zero_fallback_reasons["rh_thumb_cmc_pitch"] = str(pitch_failure)
+            thumb_zero_result = _fit_l6_thumb_axis_zero(
+                source_urdf,
+                records_by_joint,
+                curves,
+                fixed_direct_zero_offsets_rad={
+                    "rh_thumb_cmc_pitch": endpoint_offsets[
+                        "rh_thumb_cmc_pitch"
+                    ]
+                },
+            )
+        elif not geometric_result.passed:
+            details = ",".join(
+                f"{name}={reason}"
+                for name, reason in sorted(
+                    geometric_result.failure_reasons.items()
+                )
+            )
+            raise ValueError("L6 thumb axis zero solve failed:" + details)
+        offsets.update(
+            {
+                name: float(thumb_zero_result.direct_offsets_rad[name])
+                for name in (
+                    "rh_thumb_cmc_roll",
+                    "rh_thumb_cmc_pitch",
+                )
+            }
+        )
+        zero_methods.update(
+            {
+                "rh_thumb_cmc_roll": "urdf_serial_axis_geometry",
+                "rh_thumb_cmc_pitch": (
+                    "cad_range_center_after_geometry_rejection"
+                    if "rh_thumb_cmc_pitch" in zero_fallback_reasons
+                    else "urdf_serial_axis_geometry"
+                ),
+            }
+        )
+    mimic_fits: dict[str, MimicFit] = {}
+    for target in sorted(MEASURED_PASSIVE_JOINTS):
+        source = MIMIC_SOURCE_BY_JOINT[target]
+        cycle_pairs = []
+        for cycle in (0, 1, 2):
+            active = cycle_curves[source][cycle]
+            passive = cycle_curves[target][cycle]
+            cycle_pairs.append(
+                (
+                    tuple(active.decreasing_rad) + tuple(active.increasing_rad),
+                    tuple(passive.decreasing_rad) + tuple(passive.increasing_rad),
+                )
+            )
+        mimic_fits[target] = fit_coupling_model(
+            source,
+            target,
+            curves[source],
+            curves[target],
+            model=COUPLING_MODEL_BY_JOINT[target],
+            cycle_curve_pairs=cycle_pairs,
+        )
+    return L6FitResult(
+        curves=curves,
+        zero_offsets_rad=offsets,
+        travels_rad=travels,
+        mimic_fits=mimic_fits,
+        holdout_errors_rad=holdout,
+        zero_method_by_joint=zero_methods,
+        zero_fallback_reason_by_joint=zero_fallback_reasons,
+        thumb_zero_result=thumb_zero_result,
+    )
+
+
+__all__ = [
+    "L6FitResult",
+    "MimicFit",
+    "curve_travel_rad",
+    "derive_endpoint_zero_offsets",
+    "L6_THUMB_AXIS_JOINTS",
+    "fit_coupling_model",
+    "fit_l6_session",
+    "fit_mimic_multiplier",
+]

src/linkerhand_calibration/linkerhand_calibration/models/l6/motion.py

@@ -0,0 +1,82 @@
+"""Safe six-channel motion helpers for the partial L6 profile."""
+
+from __future__ import annotations
+
+import math
+from typing import Sequence
+
+from ...core import CalibrationProfile, TaskSpec
+
+
+def cosine_position_trajectory_u8(
+    start_u8: float,
+    target_u8: float,
+    elapsed_seconds: float,
+    full_range_duration_seconds: float,
+) -> tuple[float, float, float]:
+    """Return a bounded, zero-end-velocity L6 command trajectory sample."""
+    duration = (
+        float(full_range_duration_seconds)
+        * abs(float(target_u8) - float(start_u8))
+        / 255.0
+    )
+    if full_range_duration_seconds <= 0.0:
+        raise ValueError("full_range_duration_seconds must be positive")
+    if duration <= 0.0:
+        return float(target_u8), 1.0, 0.0
+    phase = min(1.0, max(0.0, float(elapsed_seconds) / duration))
+    blend = 0.5 - 0.5 * math.cos(math.pi * phase)
+    value = float(start_u8) + (float(target_u8) - float(start_u8)) * blend
+    return value, phase, duration
+
+
+def build_calibration_motion_command(
+    task: TaskSpec,
+    command_u8: int,
+    *,
+    profile: CalibrationProfile,
+) -> list[int]:
+    values = list(profile.command.baseline_u8)
+    for index, value in task.auxiliary_commands:
+        values[int(index)] = int(value)
+    values[int(task.command_index)] = int(command_u8)
+    return values
+
+
+def build_calibration_preparation_waypoints(
+    task: TaskSpec,
+    *,
+    profile: CalibrationProfile,
+    current_command: Sequence[int] | None = None,
+) -> tuple[tuple[int, ...], ...]:
+    del current_command
+    start = build_calibration_motion_command(
+        task, task.start_u8, profile=profile
+    )
+    return (tuple(start),)
+
+
+def build_calibration_return_waypoints(
+    target_command: Sequence[int] | None = None,
+    *,
+    profile: CalibrationProfile,
+    current_command: Sequence[int] | None = None,
+    **_: object,
+) -> tuple[tuple[int, ...], ...]:
+    del current_command
+    target = (
+        tuple(int(value) for value in target_command)
+        if target_command is not None
+        else tuple(profile.command.baseline_u8)
+    )
+    if len(target) != profile.command.command_count:
+        raise ValueError("L6 return command has the wrong channel count")
+    return (target,)
+
+
+__all__ = [
+    "build_calibration_motion_command",
+    "build_calibration_preparation_waypoints",
+    "build_calibration_return_waypoints",
+    "cosine_position_trajectory_u8",
+]

src/linkerhand_calibration/linkerhand_calibration/models/l6/pipeline.py

@@ -0,0 +1,267 @@
+"""Shared online/offline finalization path for one L6 partial session."""
+
+from __future__ import annotations
+
+from datetime import datetime
+import json
+import math
+from pathlib import Path
+from typing import Any, Mapping, Sequence
+
+from .artifacts import (
+    artifact_hashes,
+    atomic_write_json,
+    build_l6_runtime_payload,
+    publish_partial_session,
+)
+from .fitting import L6FitResult, fit_l6_session
+from .profile import (
+    CALIBRATED_ACTIVE_JOINTS,
+    CORRECTED_PASSIVE_JOINTS,
+    MEASURED_PASSIVE_JOINTS,
+    TRANSFERRED_ACTIVE_SOURCE_BY_JOINT,
+    TRANSFERRED_PASSIVE_SOURCE_BY_JOINT,
+)
+from .urdf import L6UrdfCorrection, write_l6_corrected_urdf
+
+
+MEASURED_JOINTS = CALIBRATED_ACTIVE_JOINTS | MEASURED_PASSIVE_JOINTS
+ENDPOINT_SNAP_TOLERANCE_U8 = 2
+
+
+def canonical_feedback_command_u8(feedback_u8: float) -> int:
+    """Map a reached L6 feedback endpoint onto the curve's 0/255 domain."""
+    value = int(round(float(feedback_u8)))
+    if value <= ENDPOINT_SNAP_TOLERANCE_U8:
+        return 0
+    if value >= 255 - ENDPOINT_SNAP_TOLERANCE_U8:
+        return 255
+    return value
+
+
+def accepted_records_by_joint(
+    records: Sequence[Mapping[str, Any]],
+) -> dict[str, list[dict[str, Any]]]:
+    """Select the newest attempt for every task/cycle/direction."""
+    samples = [
+        dict(row)
+        for row in records
+        if row.get("kind") == "l6_joint_sample"
+        and str(row.get("joint", "")) in MEASURED_JOINTS
+    ]
+    latest_attempt: dict[tuple[str, int, str], int] = {}
+    for row in samples:
+        key = (
+            str(row["task_name"]),
+            int(row["cycle"]),
+            str(row["direction"]),
+        )
+        latest_attempt[key] = max(
+            latest_attempt.get(key, 0), int(row.get("attempt", 1))
+        )
+    result = {name: [] for name in MEASURED_JOINTS}
+    for row in samples:
+        key = (
+            str(row["task_name"]),
+            int(row["cycle"]),
+            str(row["direction"]),
+        )
+        if int(row.get("attempt", 1)) != latest_attempt[key]:
+            continue
+        accepted = {
+                "cycle": int(row["cycle"]),
+                "direction": str(row["direction"]),
+                # The reusable fitter calls the independent variable
+                # command_u8; schema v6 deliberately supplies measured SDK
+                # feedback here, never the requested controller set-point.
+                "command_u8": canonical_feedback_command_u8(
+                    float(row["feedback_u8"])
+                ),
+                "feedback_u8": float(row["feedback_u8"]),
+                "relative_quaternion_xyzw": list(
+                    row["relative_quaternion_xyzw"]
+                ),
+            }
+        # Schema-v6.1 adds the G20-compatible pose trajectory required for
+        # absolute thumb CMC zero recovery.  Keep the projection here so the
+        # online and offline finalizers consume byte-equivalent fitting rows.
+        geometric_fields = (
+            "relative_translation_xyz_m",
+            "parent_pose_common",
+            "child_pose_common",
+            "view_normal_common_xyz",
+            "camera_center_common_xyz_m",
+            "state_u8",
+        )
+        if any(field in row for field in geometric_fields):
+            missing = [field for field in geometric_fields if field not in row]
+            if missing:
+                raise ValueError(
+                    "L6 geometric sample is incomplete: " + ",".join(missing)
+                )
+            for field in geometric_fields:
+                value = row[field]
+                accepted[field] = (
+                    dict(value) if isinstance(value, Mapping) else list(value)
+                )
+        result[str(row["joint"])].append(accepted)
+    return result
+
+
+def load_l6_raw_samples(path: str | Path) -> list[dict[str, Any]]:
+    source = Path(path).expanduser().resolve()
+    if not source.is_file():
+        raise ValueError(f"raw L6 sample file does not exist: {source}")
+    rows: list[dict[str, Any]] = []
+    with source.open("r", encoding="utf-8") as stream:
+        for line_number, line in enumerate(stream, 1):
+            if not line.strip():
+                continue
+            try:
+                value = json.loads(line)
+            except json.JSONDecodeError as error:
+                raise ValueError(
+                    f"invalid L6 JSONL record at line {line_number}"
+                ) from error
+            if not isinstance(value, Mapping):
+                raise ValueError(f"L6 JSONL line {line_number} is not an object")
+            rows.append(dict(value))
+    return rows
+
+
+def finalize_l6_session(
+    *,
+    session_dir: str | Path,
+    serial_number: str,
+    source_urdf: str | Path,
+    protected_inputs: Mapping[str, str],
+    records: Sequence[Mapping[str, Any]],
+    publish: bool = True,
+    timestamp: str | None = None,
+) -> tuple[dict[str, Any], L6FitResult, L6UrdfCorrection]:
+    directory = Path(session_dir).expanduser().resolve()
+    directory.mkdir(parents=True, exist_ok=True)
+    result = fit_l6_session(
+        source_urdf,
+        accepted_records_by_joint(records),
+        require_thumb_axis_zero=True,
+    )
+    # Validate the complete runtime schema before materializing any corrected
+    # URDF.  A fit/schema rejection therefore leaves only the node's failure
+    # diagnostic and the immutable raw samples.
+    payload = build_l6_runtime_payload(
+        serial_number=serial_number,
+        source_urdf=source_urdf,
+        result=result,
+        protected_inputs=protected_inputs,
+        passed=True,
+    )
+    stamp = timestamp or datetime.now().strftime("%Y%m%d_%H%M%S")
+    correction = write_l6_corrected_urdf(
+        source_urdf=source_urdf,
+        output_directory=directory,
+        serial_number=serial_number,
+        result=result,
+        timestamp=stamp,
+    )
+    json_path = directory / f"l6_right_{serial_number}_partial_calibration.json"
+    atomic_write_json(json_path, payload)
+    summary = {
+        "schema_version": 1,
+        "profile_id": "L6/right/l6_right_8/v1",
+        "serial_number": str(serial_number),
+        "result": "PARTIAL_PASS",
+        "publication_pointer": "latest_partial_passed",
+        "calibrated_active_joints": sorted(CALIBRATED_ACTIVE_JOINTS),
+        "active_zero_methods": dict(sorted(result.zero_method_by_joint.items())),
+        "active_zero_fallback_reasons": dict(
+            sorted(result.zero_fallback_reason_by_joint.items())
+        ),
+        "thumb_axis_zero": (
+            None
+            if result.thumb_zero_result is None
+            else {
+                "offsets_rad": {
+                    name: round(float(value), 10)
+                    for name, value in sorted(
+                        result.thumb_zero_result.direct_offsets_rad.items()
+                    )
+                },
+                "axis_line_rms_m": round(
+                    float(result.thumb_zero_result.axis_line_rms_m), 10
+                ),
+                "validation_error_by_joint_rad": {
+                    name: round(float(value), 10)
+                    for name, value in sorted(
+                        result.thumb_zero_result.validation_error_by_joint_rad.items()
+                    )
+                },
+            }
+        ),
+        "measured_passive_joints": sorted(MEASURED_PASSIVE_JOINTS),
+        "transferred_active_joints": dict(
+            sorted(TRANSFERRED_ACTIVE_SOURCE_BY_JOINT.items())
+        ),
+        "transferred_passive_joints": dict(
+            sorted(TRANSFERRED_PASSIVE_SOURCE_BY_JOINT.items())
+        ),
+        "passive_coupling": {
+            name: {
+                "model": fit.model,
+                "transferred_from_joint": (
+                    donor if donor != name else None
+                ),
+                "coefficients": [
+                    round(float(value), 10) for value in fit.coefficients
+                ],
+                "urdf_mimic_enabled": True,
+                "urdf_mimic_multiplier": round(
+                    float(fit.urdf_mimic_multiplier), 10
+                ),
+                "urdf_mimic_policy": fit.urdf_mimic_policy,
+                "residual_p95_deg": round(
+                    math.degrees(float(fit.residual_p95_rad)), 6
+                ),
+                "residual_max_deg": round(
+                    math.degrees(float(fit.residual_max_rad)), 6
+                ),
+                "cycle_prediction_range_deg": round(
+                    math.degrees(
+                        float(fit.maximum_cycle_prediction_range_rad)
+                    ),
+                    6,
+                ),
+            }
+            for name, donor in sorted(
+                {
+                    target: TRANSFERRED_PASSIVE_SOURCE_BY_JOINT.get(
+                        target, target
+                    )
+                    for target in CORRECTED_PASSIVE_JOINTS
+                }.items()
+            )
+            for fit in (result.mimic_fits[donor],)
+        },
+        "explicit_runtime_joints": sorted(
+            correction.explicit_runtime_joints
+        ),
+        "artifacts": {
+            "json": json_path.name,
+            "urdf": correction.path.name,
+            **artifact_hashes(json_path, correction.path),
+        },
+    }
+    atomic_write_json(directory / "calibration_summary_zh.json", summary)
+    if publish:
+        publish_partial_session(directory.parent, directory)
+    return payload, result, correction
+
+
+__all__ = [
+    "ENDPOINT_SNAP_TOLERANCE_U8",
+    "MEASURED_JOINTS",
+    "accepted_records_by_joint",
+    "canonical_feedback_command_u8",
+    "finalize_l6_session",
+    "load_l6_raw_samples",
+]

src/linkerhand_calibration/linkerhand_calibration/models/l6/profile.py

@@ -0,0 +1,392 @@
+"""Reviewed partial-calibration profile for the right L6 eight-Tag rig."""
+
+from __future__ import annotations
+
+from ...core import (
+    ArtifactPolicy,
+    CalibrationProfile,
+    CommandLayout,
+    MeasurementPolicy,
+    MeasurementSpec,
+    MotionPolicy,
+    ProfileKey,
+    QualityPolicy,
+    ScopePolicy,
+    TagSpec,
+    TaskSpec,
+    ViewSpec,
+    VisionRigSpec,
+    ZeroSolvePolicy,
+)
+from ..registry import EngineBindings, RegisteredProfile
+from .motion import (
+    build_calibration_motion_command,
+    build_calibration_preparation_waypoints,
+    build_calibration_return_waypoints,
+)
+
+
+KEY = ProfileKey("L6", "right", "l6_right_8", 1)
+
+COMMAND_NAMES: tuple[str, ...] = (
+    "thumb_cmc_pitch",
+    "thumb_cmc_roll",
+    "index_mcp_pitch",
+    "middle_mcp_pitch",
+    "ring_mcp_pitch",
+    "pinky_mcp_pitch",
+)
+
+ACTIVE_JOINTS: tuple[str, ...] = (
+    "rh_thumb_cmc_pitch",
+    "rh_thumb_cmc_roll",
+    "rh_index_mcp_pitch",
+    "rh_middle_mcp_pitch",
+    "rh_ring_mcp_pitch",
+    "rh_pinky_mcp_pitch",
+)
+PASSIVE_JOINTS: tuple[str, ...] = (
+    "rh_thumb_dip",
+    "rh_index_dip",
+    "rh_middle_dip",
+    "rh_ring_dip",
+    "rh_pinky_dip",
+)
+CALIBRATED_ACTIVE_JOINTS = frozenset(
+    {
+        "rh_thumb_cmc_pitch",
+        "rh_thumb_cmc_roll",
+        "rh_pinky_mcp_pitch",
+    }
+)
+MEASURED_PASSIVE_JOINTS = frozenset(
+    {"rh_thumb_dip", "rh_pinky_dip"}
+)
+
+# The four L6 fingers use the same six-channel mechanism.  This profile has
+# visual Tags only on the pinky, so the remaining three fingers deliberately
+# inherit the pinky's measured travel, feedback curves, and passive coupling
+# while retaining their own CAD frames and geometry.  The shared MCP zero is
+# anchored at the observed open endpoint; it is not inferred by forcing the
+# measured closed travel back onto the shorter CAD upper limit.
+TRANSFERRED_ACTIVE_SOURCE_BY_JOINT = {
+    "rh_index_mcp_pitch": "rh_pinky_mcp_pitch",
+    "rh_middle_mcp_pitch": "rh_pinky_mcp_pitch",
+    "rh_ring_mcp_pitch": "rh_pinky_mcp_pitch",
+}
+TRANSFERRED_PASSIVE_SOURCE_BY_JOINT = {
+    "rh_index_dip": "rh_pinky_dip",
+    "rh_middle_dip": "rh_pinky_dip",
+    "rh_ring_dip": "rh_pinky_dip",
+}
+CORRECTED_ACTIVE_JOINTS = frozenset(
+    CALIBRATED_ACTIVE_JOINTS | TRANSFERRED_ACTIVE_SOURCE_BY_JOINT.keys()
+)
+CORRECTED_PASSIVE_JOINTS = frozenset(
+    MEASURED_PASSIVE_JOINTS | TRANSFERRED_PASSIVE_SOURCE_BY_JOINT.keys()
+)
+
+ENDPOINT_ANCHOR_BY_JOINT = {
+    # Thumb pitch normally uses serial-axis geometry.  If that observation is
+    # incompatible with the source link geometry, align the centre of the
+    # measured physical range with the centre of the source CAD range.  Real
+    # endpoint comparison showed lower_at_start slightly under-corrected and
+    # upper_at_end over-corrected this serial, so neither endpoint is an
+    # independently trustworthy absolute datum.
+    "rh_thumb_cmc_pitch": "cad_range_center",
+    # Feedback 255 is the repeatable open/lower endpoint.  The measured travel
+    # is about 70.55 deg while the source CAD upper is 65 deg.  Anchoring the
+    # closed endpoint therefore introduced a -5.55 deg offset into all four
+    # fingers and made intermediate pinch poses systematically under-flexed.
+    "rh_pinky_mcp_pitch": "lower_at_start",
+}
+
+COMMAND_INDEX_BY_JOINT = {
+    "rh_thumb_cmc_pitch": 0,
+    "rh_thumb_cmc_roll": 1,
+    "rh_index_mcp_pitch": 2,
+    "rh_middle_mcp_pitch": 3,
+    "rh_ring_mcp_pitch": 4,
+    "rh_pinky_mcp_pitch": 5,
+}
+
+MIMIC_SOURCE_BY_JOINT = {
+    "rh_thumb_dip": "rh_thumb_cmc_pitch",
+    "rh_index_dip": "rh_index_mcp_pitch",
+    "rh_middle_dip": "rh_middle_mcp_pitch",
+    "rh_ring_dip": "rh_ring_mcp_pitch",
+    "rh_pinky_dip": "rh_pinky_mcp_pitch",
+}
+
+COUPLING_MODEL_BY_JOINT = {
+    "rh_thumb_dip": "linear_mimic",
+    # The L6 pinky transmission has a repeatable changing ratio over its
+    # travel.  Keep the exact direction-aware lookup at runtime and use the
+    # quadratic centre relation only for MuJoCo's equality constraint.
+    "rh_pinky_dip": "quadratic_runtime",
+    "rh_index_dip": "quadratic_runtime",
+    "rh_middle_dip": "quadratic_runtime",
+    "rh_ring_dip": "quadratic_runtime",
+}
+
+
+def build_typed_profile() -> CalibrationProfile:
+    active = frozenset(ACTIVE_JOINTS)
+    passive = frozenset(PASSIVE_JOINTS)
+    frozen_active = active - CALIBRATED_ACTIVE_JOINTS
+    measurements = {
+        "rh_thumb_cmc_roll": MeasurementSpec(
+            "rh_thumb_cmc_roll",
+            "relative_rotation",
+            "top",
+            "top_base",
+            "thumb_roll",
+        ),
+        "rh_thumb_cmc_pitch": MeasurementSpec(
+            "rh_thumb_cmc_pitch",
+            "relative_rotation",
+            "front",
+            "front_base",
+            "thumb_pitch",
+        ),
+        "rh_thumb_dip": MeasurementSpec(
+            "rh_thumb_dip",
+            "relative_rotation",
+            "front",
+            "thumb_pitch",
+            "thumb_dip",
+        ),
+        "rh_pinky_mcp_pitch": MeasurementSpec(
+            "rh_pinky_mcp_pitch",
+            "relative_rotation",
+            "side",
+            "side_base",
+            "pinky_pitch",
+        ),
+        "rh_pinky_dip": MeasurementSpec(
+            "rh_pinky_dip",
+            "relative_rotation",
+            "side",
+            "pinky_pitch",
+            "pinky_dip",
+        ),
+    }
+    tasks = (
+        TaskSpec(
+            "thumb_roll_top",
+            "top",
+            1,
+            ("rh_thumb_cmc_roll",),
+            auxiliary_commands=((0, 255),),
+            preflight_speed_u8=1,
+            formal_speed_u8=1,
+        ),
+        TaskSpec(
+            "thumb_pitch_dip_front",
+            "front",
+            0,
+            ("rh_thumb_cmc_pitch", "rh_thumb_dip"),
+            auxiliary_commands=((1, 255),),
+            preflight_speed_u8=1,
+            formal_speed_u8=1,
+        ),
+        TaskSpec(
+            "pinky_pitch_dip_side",
+            "side",
+            5,
+            ("rh_pinky_mcp_pitch", "rh_pinky_dip"),
+            preflight_speed_u8=1,
+            formal_speed_u8=1,
+        ),
+    )
+    coverage = {
+        **{
+            name: (
+                "measured_static_dynamic"
+                if name in CALIBRATED_ACTIVE_JOINTS
+                else "transferred_static_dynamic"
+                if name in TRANSFERRED_ACTIVE_SOURCE_BY_JOINT
+                else "cad_nominal"
+            )
+            for name in active
+        },
+        **{
+            name: (
+                "measured_dynamic_cad_static"
+                if name in MEASURED_PASSIVE_JOINTS
+                else "transferred_dynamic_cad_static"
+                if name in TRANSFERRED_PASSIVE_SOURCE_BY_JOINT
+                else "mimic_nominal"
+            )
+            for name in passive
+        },
+    }
+    return CalibrationProfile(
+        key=KEY,
+        namespace="/l6_calibration",
+        command=CommandLayout(
+            names=COMMAND_NAMES,
+            baseline_u8=(255,) * 6,
+            command_index_by_joint=COMMAND_INDEX_BY_JOINT,
+            urdf_joint_by_joint={name: name for name in ACTIVE_JOINTS},
+            feedback_name_aliases={"thumb_cmc_yaw": "thumb_cmc_roll"},
+            speed_slot_by_command_index={index: index for index in range(6)},
+        ),
+        vision=VisionRigSpec(
+            views=(
+                ViewSpec(
+                    "front",
+                    (
+                        TagSpec("front_base", 0, fixed_reference=True),
+                        TagSpec("thumb_pitch", 1),
+                        TagSpec("thumb_dip", 2),
+                    ),
+                ),
+                ViewSpec(
+                    "side",
+                    (
+                        TagSpec("side_base", 3, fixed_reference=True),
+                        TagSpec("pinky_pitch", 4),
+                        TagSpec("pinky_dip", 5),
+                    ),
+                ),
+                ViewSpec(
+                    "top",
+                    (
+                        TagSpec("top_base", 6, fixed_reference=True),
+                        TagSpec("thumb_roll", 7),
+                    ),
+                ),
+            ),
+            common_frame="calibration_common",
+            extrinsic_reference_view="front",
+            extrinsics_quality_limits={
+                "reprojection_rms_px": 1.2,
+                "maximum_rotation_repeatability_deg": 0.3,
+                "maximum_translation_repeatability_m": 0.0015,
+            },
+            minimum_capture_counts={
+                "front_side_captures": 15,
+                "front_top_captures": 15,
+            },
+        ),
+        motion=MotionPolicy(
+            tasks=tasks,
+            precheck_sweeps=True,
+            steady_command_checkpoints=True,
+            speed_parameters={
+                "preflight_u8": 1,
+                "formal_u8": 1,
+                "speed_settle_seconds": 0.2,
+                "command_trajectory_full_range_seconds": 6.0,
+                "torque_u8": 80,
+                "endpoint_hold_seconds": 1.0,
+                "stall_timeout_seconds": 2.0,
+            },
+        ),
+        measurement=MeasurementPolicy(
+            measurements=measurements,
+            directional_zero=True,
+        ),
+        zero=ZeroSolvePolicy(
+            active_joints=active,
+            passive_joints=passive,
+            direct_zero_joints=tuple(sorted(CALIBRATED_ACTIVE_JOINTS)),
+            axis_joints=tuple(
+                sorted(CALIBRATED_ACTIVE_JOINTS | MEASURED_PASSIVE_JOINTS)
+            ),
+            mechanical_endpoint_joints=frozenset(ENDPOINT_ANCHOR_BY_JOINT),
+            post_solve_endpoint_joints=frozenset(),
+            mimic_source_by_joint=MIMIC_SOURCE_BY_JOINT,
+            cad_frozen_joints=passive,
+            endpoint_anchor_by_joint={
+                name: ENDPOINT_ANCHOR_BY_JOINT[name]
+                for name in ENDPOINT_ANCHOR_BY_JOINT
+            },
+            fitted_mimic_joints=MEASURED_PASSIVE_JOINTS,
+            coupling_model_by_joint=COUPLING_MODEL_BY_JOINT,
+        ),
+        quality=QualityPolicy(
+            training_cycles=(0, 1, 2),
+            holdout_cycle=3,
+            hard_threshold_keys=frozenset(
+                {
+                    "minimum_detection_rate",
+                    "maximum_state_image_skew_ms",
+                    "maximum_hysteresis_rad",
+                    "maximum_validation_error_rad",
+                    "maximum_mimic_residual_rad",
+                }
+            ),
+            isolated_holdout=True,
+        ),
+        scope=ScopePolicy(
+            calibrate_joints={"partial": CALIBRATED_ACTIVE_JOINTS},
+            frozen_joints={"partial": frozen_active},
+            default_scope="partial",
+        ),
+        artifacts=ArtifactPolicy(
+            output_schema_version=6,
+            calibration_filename=(
+                "l6_right_{serial_number}_partial_calibration.json"
+            ),
+            corrected_urdf_filename=(
+                "linkerhand_l6_right_{serial_number}_partial_zero_calibrated.urdf"
+            ),
+            protected_input_fields=frozenset(
+                {
+                    "source_urdf_sha256",
+                    "camera_extrinsics_sha256",
+                    "calibration_config_sha256",
+                    "tag_config_sha256",
+                }
+            ),
+            publication_pointer="latest_partial_passed",
+            session_compatibility_tokens=frozenset(
+                {"l6_partial_v1", "feedback_curves_v6"}
+            ),
+            publish_corrected_urdf=True,
+        ),
+        joint_coverage=coverage,
+    )
+
+
+def _run_cli(args: list[str] | None = None) -> None:
+    from .runner import main
+
+    main(args)
+
+
+def _run_node(args: list[str] | None = None) -> None:
+    from .node import main
+
+    main(args)
+
+
+def build_profile() -> RegisteredProfile:
+    typed = build_typed_profile()
+    return RegisteredProfile(
+        profile=typed,
+        engine=EngineBindings(
+            hand_profile=typed,
+            zero_profile=typed.zero,
+            motion_command=build_calibration_motion_command,
+            preparation_waypoints=build_calibration_preparation_waypoints,
+            return_waypoints=build_calibration_return_waypoints,
+            cli_main=_run_cli,
+            node_main=_run_node,
+        ),
+    )
+
+
+__all__ = [
+    "ACTIVE_JOINTS",
+    "CALIBRATED_ACTIVE_JOINTS",
+    "COMMAND_NAMES",
+    "KEY",
+    "MEASURED_PASSIVE_JOINTS",
+    "MIMIC_SOURCE_BY_JOINT",
+    "PASSIVE_JOINTS",
+    "build_profile",
+    "build_typed_profile",
+]

src/linkerhand_calibration/linkerhand_calibration/models/l6/runner.py

@@ -0,0 +1,622 @@
+"""One-command online runner and deterministic offline replay for L6 right."""
+
+from __future__ import annotations
+
+import argparse
+from datetime import datetime
+import hashlib
+import json
+import os
+from pathlib import Path
+import re
+import signal
+import subprocess
+import sys
+import time
+from typing import Any, Mapping
+
+import rclpy
+from rclpy.node import Node
+from std_msgs.msg import String
+from std_srvs.srv import Trigger
+
+from ...operator_report import (
+    ProgressEstimator,
+    render_compact_progress_header_zh,
+)
+from ...product import ProductConfig, load_product_config
+from ...storage import atomic_write_json
+from .pipeline import finalize_l6_session, load_l6_raw_samples
+
+
+_STATE_LABELS = {
+    "WAIT_DEVICES": "等待六通道反馈和三相机内参",
+    "READY": "设备就绪",
+    "RUNNING": "标定中",
+    "PASSED": "通过",
+    "PAUSED": "已暂停",
+    "ABORTED": "已中止",
+}
+_TASK_LABELS = {
+    "thumb_roll_top": "拇指 CMC roll（上方机位，ID6→ID7）",
+    "thumb_pitch_dip_front": "拇指 CMC pitch / DIP（正面机位，ID0→ID1→ID2）",
+    "pinky_pitch_dip_side": "小指 MCP pitch / DIP（侧面机位，ID3→ID4→ID5）",
+}
+_PHASE_LABELS = {
+    "baseline": "安全恢复基准形态",
+    "preflight": "任务运动预检",
+    "prepare": "扫描起点准备",
+    "retry_prepare": "自动重扫起点准备",
+    "sweep": "正式扫描",
+}
+_DIRECTION_LABELS = {
+    "decreasing": "递减",
+    "increasing": "递增",
+}
+
+
+def _progress_fraction(status: Mapping[str, Any]) -> tuple[float, int, int]:
+    state = str(status.get("state", ""))
+    step_count = max(0, int(status.get("step_count", 0) or 0))
+    step_index = int(status.get("step_index", -1) or 0)
+    step_fraction = float(status.get("step_fraction", 0.0) or 0.0)
+    if state == "PASSED":
+        overall = 1.0
+    elif step_count and step_index >= 0:
+        overall = min(1.0, max(0.0, (step_index + step_fraction) / step_count))
+    else:
+        overall = 0.0
+    current_step = min(step_count, max(0, step_index + 1)) if step_count else 0
+    return overall, current_step, step_count
+
+
+def _duration_zh(seconds: float | None) -> str:
+    if seconds is None or seconds < 0.0:
+        return "计算中"
+    value = int(round(seconds))
+    return f"{value // 60}分{value % 60:02d}秒"
+
+
+def _l6_reason_zh(status: Mapping[str, Any]) -> tuple[str, str, str]:
+    reason = str(status.get("reason", "unknown"))
+    if reason.startswith("fixed_base_tag_moved:"):
+        fields = reason.split(":")
+        view = fields[1] if len(fields) > 1 else "unknown"
+        labels = {"front": "正面", "side": "侧面", "top": "上方"}
+        match = re.search(r"drift_px=([0-9.]+)", reason)
+        drift = match.group(1) if match else "未知"
+        limit = float(status.get("base_corner_drift_limit_px", 2.0) or 2.0)
+        return (
+            "OBS-BASE-DRIFT-105",
+            f"{labels.get(view, view)}机位的掌心固定基准 Tag 相对本方向扫描前"
+            f"锁定位置连续漂移，最大角点位移 {drift} px，超过 {limit:g} px。",
+            "检查手掌支架、相机和掌心基准 Tag 是否松动或被碰触；固定后重新开始。"
+            "程序已禁止发布本次结果。",
+        )
+    if reason.startswith("sweep_quality_failed:"):
+        fields = reason.split(":", 2)
+        details = fields[2] if len(fields) > 2 else "未提供明细"
+        return (
+            "OBS-SWEEP-QUALITY-104",
+            "当前方向经过自动重扫后仍未满足采集门限；具体未通过项："
+            f"{details}。",
+            "查看会话诊断中的具体 frames/bins/maximum_gap/tag_rate；先处理遮挡或"
+            "反馈采样问题，再重新开始。程序已禁止发布本次结果。",
+        )
+    if reason.startswith("non_target_motor_moved:"):
+        return (
+            "MOTION-NONTARGET-304",
+            "扫描期间检测到非目标电机离开保持位置。",
+            "停止其他控制节点并检查机械耦合或反馈通道顺序，确认后重新开始。",
+        )
+    if reason.startswith("multiple_state_publishers:"):
+        count = status.get("state_publisher_count", "?")
+        return (
+            "DEVICE-DUPLICATE-SDK-203",
+            f"检测到 {count} 个 L6 状态发布者；这通常表示已有 SDK/GUI 未退出。",
+            "先停止单独启动的 linker_hand_sdk 和 GUI，只保留本标定命令自动拉起的 SDK，"
+            "再重新开始。程序已禁止同时控制同一只手。",
+        )
+    if reason.startswith("multiple_command_publishers:"):
+        count = status.get("command_publisher_count", "?")
+        return (
+            "DEVICE-COMMAND-CONFLICT-204",
+            f"检测到 {count} 个 L6 控制命令发布者，标定节点之外还有程序在控制手。",
+            "停止 GUI、手动控制节点或其他标定进程，只保留当前标定命令后重新开始。",
+        )
+    if reason.startswith("mechanical_stall:"):
+        return (
+            "MOTION-STALL-303",
+            "目标电机连续两秒没有向目标推进，程序已保持当前位置。",
+            "检查碰撞、摩擦和机械端点；不要连续重启强推。",
+        )
+    if reason.startswith("motion_timeout:"):
+        return (
+            "MOTION-TIMEOUT-302",
+            "当前运动在规定时间内没有到达目标位置。",
+            "检查 CAN 反馈、电机状态和机械阻挡后重新开始。",
+        )
+    if reason.startswith("fit_or_publication_failed:"):
+        if (
+            "mimic_residual_exceeds:" in reason
+            or "coupling_residual_exceeds:" in reason
+        ):
+            joint_match = re.search(r"joint=([^:]+)", reason)
+            model_match = re.search(r"model=([^:]+)", reason)
+            multiplier_match = re.search(
+                r"(?:multiplier|linear_term)=([0-9.]+)", reason
+            )
+            p95_match = re.search(r"p95_deg=([0-9.]+)", reason)
+            maximum_match = re.search(r"maximum_deg=([0-9.]+)", reason)
+            joint = joint_match.group(1) if joint_match else "未知关节"
+            model = model_match.group(1) if model_match else "linear_mimic"
+            multiplier = multiplier_match.group(1) if multiplier_match else "未知"
+            p95 = p95_match.group(1) if p95_match else "未知"
+            maximum = maximum_match.group(1) if maximum_match else "未知"
+            return (
+                "FIT-MIMIC-503",
+                f"{joint} 的 {model} 耦合模型未达到精度门限："
+                f"线性项 {multiplier}，"
+                f"残差 P95={p95}°、最大={maximum}°。",
+                "原始视觉曲线已保留；不要放宽门限或发布错误 URDF。请检查 Tag 刚性、"
+                "遮挡与机械重复性后重新采集。",
+            )
+        detail = reason.split(":", 1)[1] if ":" in reason else "未知"
+        return (
+            "FIT-PUBLISH-501",
+            f"采集完成后的拟合、质量验证或 URDF 安全写回失败：{detail}。",
+            "保留本会话，不要修改源 URDF；复制下方诊断块给开发者。",
+        )
+    if reason.startswith("operator_abort"):
+        return "OPERATOR-ABORT-001", "操作员主动中止了本次标定。", "排除现场问题后重新开始。"
+    return (
+        "L6-CAL-500",
+        "L6 标定因未分类保护条件停止。",
+        "保留会话目录和运行日志，并复制下方诊断块给开发者。",
+    )
+
+
+def render_l6_progress_zh(
+    status: Mapping[str, Any],
+    estimator: ProgressEstimator | None = None,
+) -> str:
+    """Render L6 progress in the same operator-oriented layout as G20."""
+    state = str(status.get("state", ""))
+    overall, _current_step, _step_count = _progress_fraction(status)
+    task = status.get("task_name")
+    phase = status.get("phase")
+    if task:
+        task_text = _TASK_LABELS.get(str(task), str(task))
+    elif phase == "baseline":
+        task_text = "全手基准姿态"
+    elif state == "WAIT_DEVICES":
+        task_text = "等待设备连接"
+    elif state == "READY":
+        task_text = "等待开始"
+    else:
+        task_text = "无"
+    eta = _duration_zh(estimator.remaining(overall) if estimator else None)
+    cycle = status.get("cycle")
+    cycle_text = "-" if cycle is None else str(int(cycle) + 1)
+    direction = status.get("direction")
+    direction_text = _DIRECTION_LABELS.get(str(direction), "-")
+    target = status.get("target_u8")
+    requested = status.get("current_command_u8", target)
+    actual = status.get("actual_u8")
+    actual_text = "未知" if actual is None else f"{float(actual):.1f}"
+    valid = int(status.get("valid_frames", 0) or 0)
+    total = int(status.get("total_frames", 0) or 0)
+    rate = float(status.get("tag_detection_rate", 0.0) or 0.0)
+    joint_rate = float(
+        status.get(
+            "joint_frame_rate",
+            (float(valid) / total) if total else 0.0,
+        )
+        or 0.0
+    )
+    recognized = [int(value) for value in status.get("recognized_tag_ids", [])]
+    unrecognized = [
+        int(value) for value in status.get("unrecognized_tag_ids", [])
+    ]
+    recognized_text = "/".join(f"ID{value}" for value in recognized) or "无"
+    unrecognized_text = "/".join(f"ID{value}" for value in unrecognized) or "无"
+    attempt = int(status.get("attempt", 1) or 1)
+    lines = render_compact_progress_header_zh(
+        serial_number=str(status.get("serial_number", "?")),
+        progress=overall,
+        eta=eta,
+        stage=_PHASE_LABELS.get(str(phase), _STATE_LABELS.get(state, state)),
+        cycle=cycle_text,
+        repetitions=4,
+        task=task_text,
+        requested=requested,
+        actual=actual_text,
+        direction=direction_text,
+        tag_status=(
+            f"已识别 {recognized_text}；未识别/不合格 {unrecognized_text}；"
+            f"本方向各Tag最低 {rate:.1%}；联合 {valid}/{total} 帧"
+            f"（{joint_rate:.1%}）"
+        ),
+        ready_cameras=3,
+        feedback_hz=float(status.get("feedback_hz", 0.0) or 0.0),
+        valid_frames=valid,
+        automatic_retry_count=max(0, attempt - 1),
+    )
+    if state in {"PAUSED", "ABORTED"}:
+        _code, problem, suggestion = _l6_reason_zh(status)
+        lines.extend((f"原因：{problem}", f"建议：{suggestion}"))
+    return "\n".join(lines)
+
+
+class _ProgressConsole:
+    def __init__(self) -> None:
+        self.last_text = ""
+        self.estimator = ProgressEstimator.start()
+
+    def update(self, status: Mapping[str, Any]) -> None:
+        text = render_l6_progress_zh(status, self.estimator)
+        if text == self.last_text:
+            return
+        self.last_text = text
+        if sys.stdout.isatty():
+            sys.stdout.write("\x1b[2J\x1b[H" + text + "\n")
+            sys.stdout.flush()
+        else:
+            print(text, flush=True)
+
+
+class _Monitor(Node):
+    def __init__(self, progress: _ProgressConsole) -> None:
+        super().__init__("l6_calibration_runner")
+        self.status: dict[str, Any] = {}
+        self.progress = progress
+        self.create_subscription(
+            String, "/l6_calibration/status", self._status_callback, 10
+        )
+        self.start_client = self.create_client(Trigger, "/l6_calibration/start")
+        self.abort_client = self.create_client(Trigger, "/l6_calibration/abort")
+
+    def _status_callback(self, message: String) -> None:
+        try:
+            value = json.loads(message.data)
+        except json.JSONDecodeError:
+            return
+        if isinstance(value, dict):
+            self.status = value
+            self.progress.update(value)
+
+
+def _launch_command(
+    config: ProductConfig,
+    session: Path,
+    *,
+    record_bag: bool,
+    commands_enabled: bool,
+) -> list[str]:
+    arguments = {
+        "model": config.model,
+        "hand_type": config.side,
+        "tag_layout": config.tag_layout,
+        "serial_number": config.serial_number,
+        "can_interface": config.can_interface,
+        "source_urdf_path": str(config.source_urdf),
+        "source_urdf_expected_sha256": config.source_urdf_sha256,
+        "camera_extrinsics_file": str(config.camera_extrinsics),
+        "camera_extrinsics_expected_sha256": config.camera_extrinsics_sha256,
+        "calibration_config": str(config.calibration_config),
+        "calibration_config_expected_sha256": config.calibration_config_sha256,
+        "tag_config": str(config.tag_config),
+        "tag_config_expected_sha256": config.tag_config_sha256,
+        "output_root": str(config.output_root),
+        "session_dir": str(session),
+        "corrected_urdf_output_dir": str(session),
+        "recalibration_scope": "partial",
+        "calibration_speed": "1",
+        "index_roll_calibration_speed": "1",
+        "index_flex_calibration_speed": "1",
+        "commands_enabled": str(commands_enabled).lower(),
+        "record_bag": str(record_bag).lower(),
+    }
+    for view, camera in config.cameras.items():
+        arguments[f"{view}_camera_serial"] = camera["serial_number"]
+        arguments[f"{view}_camera_name"] = camera["camera_name"]
+        arguments[f"{view}_camera_info_url"] = camera["camera_info"]
+    return [
+        "ros2", "launch", "linkerhand_calibration",
+        "three_camera_calibration.launch.py",
+        *(f"{name}:={value}" for name, value in arguments.items()),
+    ]
+
+
+def _wait_until(
+    monitor: _Monitor,
+    process: subprocess.Popen[Any],
+    predicate,
+    *,
+    timeout: float | None,
+) -> bool:
+    started = time.monotonic()
+    while rclpy.ok():
+        if process.poll() is not None:
+            return False
+        rclpy.spin_once(monitor, timeout_sec=0.2)
+        if predicate(monitor.status):
+            return True
+        if timeout is not None and time.monotonic() - started > timeout:
+            return False
+    return False
+
+
+def _stop_stack(process: subprocess.Popen[Any]) -> None:
+    """Stop the whole launch process group without leaking child-node noise."""
+    if process.poll() is not None:
+        return
+    try:
+        os.killpg(process.pid, signal.SIGINT)
+    except ProcessLookupError:
+        return
+    try:
+        process.wait(timeout=15.0)
+    except subprocess.TimeoutExpired:
+        try:
+            os.killpg(process.pid, signal.SIGTERM)
+        except ProcessLookupError:
+            return
+        try:
+            process.wait(timeout=5.0)
+        except subprocess.TimeoutExpired:
+            try:
+                os.killpg(process.pid, signal.SIGKILL)
+            except ProcessLookupError:
+                return
+            process.wait(timeout=5.0)
+
+
+def _l6_failure_report(
+    config: ProductConfig,
+    session: Path,
+    status: Mapping[str, Any],
+    log_path: Path,
+) -> str:
+    code, problem, suggestion = _l6_reason_zh(status)
+    task_key = status.get("task_name")
+    task = "无" if task_key is None else _TASK_LABELS.get(str(task_key), str(task_key))
+    metrics = {
+        "task": task,
+        "cycle": status.get("cycle"),
+        "direction": status.get("direction"),
+        "valid_frames": status.get("valid_frames", 0),
+        "detection_frames": status.get("total_frames", 0),
+        "detection_rate": status.get("tag_detection_rate", 0.0),
+        "detection_rate_by_role": status.get("tag_detection_rate_by_role", {}),
+        "tag_seen_rate_by_role": status.get("tag_seen_rate_by_role", {}),
+        "recognized_tag_ids": status.get("recognized_tag_ids", []),
+        "unrecognized_tag_ids": status.get("unrecognized_tag_ids", []),
+        "joint_frame_rate": status.get("joint_frame_rate", 0.0),
+        "all_tags_quality_rate": status.get("all_tags_quality_rate", 0.0),
+        "pnp_valid_rate": status.get("pnp_valid_rate", 0.0),
+        "state_sync_rate": status.get("state_sync_rate", 0.0),
+        "observation_rejection_counts": status.get(
+            "observation_rejection_counts", {}
+        ),
+        "actual_u8": status.get("actual_u8"),
+        "current_command_u8": status.get("current_command_u8"),
+        "base_corner_drift_px": status.get("base_corner_drift_px", {}),
+        "state_publisher_count": status.get("state_publisher_count"),
+        "command_publisher_count": status.get("command_publisher_count"),
+        "failure_reason": status.get("reason"),
+    }
+    payload = {
+        "schema_version": 1,
+        "profile_id": status.get("profile_id"),
+        "serial_number": config.serial_number,
+        "result": "FAIL",
+        "error_code": code,
+        "stage": status.get("phase")
+        or ("fit" if str(status.get("reason", "")).startswith(
+            "fit_or_publication_failed:"
+        ) else status.get("state", "unknown")),
+        "reason": status.get("reason", "unknown"),
+        "problem_zh": problem,
+        "automatic_action_zh": "已停止运动、保持当前位置并禁止发布标定 JSON/URDF",
+        "suggestion_zh": suggestion,
+        "metrics": metrics,
+        "feedback_hz": status.get("feedback_hz", 0.0),
+        "hashes": {
+            "product_config_sha256": hashlib.sha256(
+                config.path.read_bytes()
+            ).hexdigest(),
+            "camera_extrinsics_sha256": config.camera_extrinsics_sha256,
+            "calibration_config_sha256": config.calibration_config_sha256,
+            "source_urdf_sha256": config.source_urdf_sha256,
+        },
+        "session_dir": str(session),
+        "log_path": str(log_path),
+        "quality": {"passed": False},
+    }
+    atomic_write_json(session / "calibration_summary_zh.json", payload)
+    return "\n".join(
+        [
+            "========== 请复制以下内容给开发者 ==========",
+            f"会话编号：{config.serial_number}_{session.name}",
+            "结果：FAIL",
+            f"错误代码：{code}",
+            f"失败阶段：{payload['stage']}",
+            f"问题：{problem}",
+            f"自动处理：{payload['automatic_action_zh']}",
+            "关键指标："
+            + json.dumps(metrics, ensure_ascii=False, separators=(",", ":")),
+            f"反馈状态：{float(payload['feedback_hz'] or 0.0):.1f} Hz",
+            f"配置哈希：{payload['hashes']['product_config_sha256']}",
+            f"外参哈希：{config.camera_extrinsics_sha256}",
+            f"源 URDF 哈希：{config.source_urdf_sha256}",
+            f"会话目录：{session}",
+            f"运行日志：{log_path}",
+            f"建议：{suggestion}",
+            "========== 复制结束 ==========",
+        ]
+    )
+
+
+def _run_online(
+    config: ProductConfig,
+    *,
+    record_bag: bool,
+    commands_enabled: bool,
+) -> int:
+    stamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+    session = config.session_root / stamp
+    while session.exists():
+        time.sleep(1.0)
+        stamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+        session = config.session_root / stamp
+    session.mkdir(parents=True)
+    command = _launch_command(
+        config, session, record_bag=record_bag, commands_enabled=commands_enabled
+    )
+    log_path = session / "calibration.log"
+    log_stream = log_path.open("a", encoding="utf-8", buffering=1)
+    process = subprocess.Popen(
+        command,
+        cwd=config.workspace,
+        stdout=log_stream,
+        stderr=subprocess.STDOUT,
+        text=True,
+        start_new_session=True,
+    )
+    rclpy.init()
+    monitor = _Monitor(_ProgressConsole())
+    try:
+        ready = _wait_until(
+            monitor,
+            process,
+            lambda status: status.get("state")
+            in {"READY", "PAUSED", "ABORTED"},
+            timeout=120.0,
+        )
+        if ready and monitor.status.get("state") in {"PAUSED", "ABORTED"}:
+            print(
+                _l6_failure_report(config, session, monitor.status, log_path),
+                flush=True,
+            )
+            return 3
+        if not ready:
+            print("L6 启动失败：120秒内未收到六通道反馈和三相机内参。", flush=True)
+            return 2
+        if not monitor.start_client.wait_for_service(timeout_sec=10.0):
+            print("L6 标定 /start 服务不可用。", flush=True)
+            return 2
+        future = monitor.start_client.call_async(Trigger.Request())
+        while rclpy.ok() and not future.done():
+            rclpy.spin_once(monitor, timeout_sec=0.2)
+        response = future.result()
+        if response is None or not response.success:
+            print(f"L6 标定未启动：{getattr(response, 'message', '')}", flush=True)
+            return 2
+        print(
+            "L6右手标定已启动：通道0/1/5，预检/正式速度1，"
+            "全行程6秒余弦缓入缓出，torque 80。",
+            flush=True,
+        )
+        finished = _wait_until(
+            monitor,
+            process,
+            lambda status: status.get("state") in {"PASSED", "PAUSED", "ABORTED"},
+            timeout=None,
+        )
+        if not finished:
+            print("L6 标定进程意外退出。", flush=True)
+            return 2
+        status = monitor.status
+        if status.get("state") != "PASSED":
+            print(_l6_failure_report(config, session, status, log_path), flush=True)
+            return 3
+        print(
+            "\n".join(
+                [
+                    "PASS：L6右手三主动关节与两条DIP实测通过；"
+                    "小指结果已迁移到食指、中指和无名指。",
+                    f"部分结果：{config.session_root / 'latest_partial_passed'}",
+                    f"JSON：{status.get('final_json')}",
+                    f"URDF：{status.get('final_urdf')}",
+                ]
+            ),
+            flush=True,
+        )
+        return 0
+    except KeyboardInterrupt:
+        if monitor.abort_client.wait_for_service(timeout_sec=2.0):
+            monitor.abort_client.call_async(Trigger.Request())
+            rclpy.spin_once(monitor, timeout_sec=1.0)
+        return 130
+    finally:
+        monitor.destroy_node()
+        if rclpy.ok():
+            rclpy.shutdown()
+        _stop_stack(process)
+        log_stream.flush()
+        os.fsync(log_stream.fileno())
+        log_stream.close()
+
+
+def main(args: list[str] | None = None) -> None:
+    parser = argparse.ArgumentParser(
+        description="L6 right partial three-camera calibration"
+    )
+    parser.add_argument("--config", required=True)
+    parser.add_argument("--workspace", default=None)
+    parser.add_argument("--record-bag", action="store_true")
+    parser.add_argument("--commands-disabled", action="store_true")
+    parser.add_argument("--validate-only", action="store_true")
+    parser.add_argument("--offline-raw", default="")
+    parser.add_argument("--offline-output", default="")
+    parser.add_argument("--publish-offline", action="store_true")
+    selected = parser.parse_args(args)
+    config = load_product_config(
+        selected.config,
+        workspace=selected.workspace,
+        check_can=not bool(selected.validate_only or selected.offline_raw),
+    )
+    if selected.validate_only:
+        print(
+            f"配置有效：{config.profile_key.profile_id}，源URDF "
+            f"{config.source_urdf_sha256}",
+            flush=True,
+        )
+        return
+    if selected.offline_raw:
+        output = (
+            Path(selected.offline_output).expanduser().resolve()
+            if selected.offline_output
+            else config.session_root
+            / (datetime.now().strftime("%Y%m%d_%H%M%S") + "_offline")
+        )
+        output.mkdir(parents=True, exist_ok=False)
+        payload, _fit, correction = finalize_l6_session(
+            session_dir=output,
+            serial_number=config.serial_number,
+            source_urdf=config.source_urdf,
+            protected_inputs={
+                "source_urdf_sha256": config.source_urdf_sha256,
+                "camera_extrinsics_sha256": config.camera_extrinsics_sha256,
+                "calibration_config_sha256": config.calibration_config_sha256,
+                "tag_config_sha256": config.tag_config_sha256,
+            },
+            records=load_l6_raw_samples(selected.offline_raw),
+            publish=selected.publish_offline,
+        )
+        print(
+            f"离线回放PASS：schema {payload['schema_version']}，URDF {correction.path}",
+            flush=True,
+        )
+        return
+    raise SystemExit(
+        _run_online(
+            config,
+            record_bag=selected.record_bag,
+            commands_enabled=not selected.commands_disabled,
+        )
+    )
+
+
+__all__ = ["main", "render_l6_progress_zh"]

src/linkerhand_calibration/linkerhand_calibration/models/l6/urdf.py

@@ -0,0 +1,342 @@
+"""Minimal, auditable URDF correction for the partial L6 profile."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from datetime import datetime
+import math
+import os
+from pathlib import Path
+import re
+import shutil
+from typing import Mapping
+import xml.etree.ElementTree as ET
+
+import numpy as np
+from scipy.spatial.transform import Rotation
+
+from ..g20.zero_solver import _materialize_relative_mesh_assets
+from .fitting import L6FitResult
+from .profile import (
+    CALIBRATED_ACTIVE_JOINTS,
+    CORRECTED_ACTIVE_JOINTS,
+    CORRECTED_PASSIVE_JOINTS,
+    MEASURED_PASSIVE_JOINTS,
+    MIMIC_SOURCE_BY_JOINT,
+    TRANSFERRED_ACTIVE_SOURCE_BY_JOINT,
+    TRANSFERRED_PASSIVE_SOURCE_BY_JOINT,
+)
+
+
+@dataclass(frozen=True)
+class L6UrdfCorrection:
+    path: Path
+    origin_offsets_rad: Mapping[str, float]
+    corrected_limits_rad: Mapping[str, tuple[float, float]]
+    mimic_multipliers: Mapping[str, float]
+    coupling_polycoef: Mapping[str, tuple[float, ...]]
+    explicit_runtime_joints: frozenset[str]
+
+
+def _triplet(value: str) -> np.ndarray:
+    result = np.asarray([float(item) for item in str(value).split()], dtype=float)
+    if result.shape != (3,) or not np.all(np.isfinite(result)):
+        raise ValueError(f"invalid URDF vector: {value}")
+    return result
+
+
+def _replace_attribute(
+    block: str, element: str, attribute: str, value: str
+) -> str:
+    pattern = re.compile(
+        rf"(<{element}\b[^>]*\b{attribute}\s*=\s*)([\"'])"
+        rf"(?P<value>[^\"']*)\2",
+        re.DOTALL,
+    )
+    match = pattern.search(block)
+    if match is None:
+        raise ValueError(f"{element} has no {attribute} attribute")
+    start, end = match.span("value")
+    return block[:start] + value + block[end:]
+
+
+def _corrected_origin_rpy(joint: ET.Element, offset: float) -> str:
+    origin = joint.find("origin")
+    if origin is None or origin.get("rpy") is None:
+        raise ValueError(f"joint {joint.get('name')} has no origin.rpy")
+    # Preserve the reviewed CAD spelling exactly when the calibrated open
+    # endpoint is the source joint zero.  Apart from avoiding Euler round-off,
+    # this makes it explicit that a zero correction must not rotate the frame.
+    if abs(float(offset)) <= 1.0e-12:
+        return str(origin.get("rpy"))
+    axis_node = joint.find("axis")
+    axis = _triplet(
+        "1 0 0" if axis_node is None else axis_node.get("xyz", "1 0 0")
+    )
+    norm = float(np.linalg.norm(axis))
+    if norm <= 1.0e-12:
+        raise ValueError(f"joint {joint.get('name')} has a degenerate axis")
+    source = Rotation.from_euler("xyz", _triplet(origin.get("rpy", "0 0 0")))
+    corrected = source * Rotation.from_rotvec(axis / norm * float(offset))
+    return " ".join(
+        f"{float(value):.15g}" for value in corrected.as_euler("xyz")
+    )
+
+
+def _validate_passive_ranges(
+    joints: Mapping[str, ET.Element], result: L6FitResult
+) -> None:
+    for target in sorted(CORRECTED_PASSIVE_JOINTS):
+        source = MIMIC_SOURCE_BY_JOINT[target]
+        measured_source = TRANSFERRED_ACTIVE_SOURCE_BY_JOINT.get(
+            source, source
+        )
+        measured_target = TRANSFERRED_PASSIVE_SOURCE_BY_JOINT.get(
+            target, target
+        )
+        joint = joints[target]
+        mimic = joint.find("mimic")
+        limit = joint.find("limit")
+        if mimic is None or limit is None:
+            raise ValueError(f"passive joint is missing mimic or limit: {target}")
+        if mimic.get("joint") != source:
+            raise ValueError(f"passive source differs from profile: {target}")
+        offset = float(mimic.get("offset", "0"))
+        coupling = result.mimic_fits[measured_target]
+        travel = float(result.travels_rad[measured_source])
+        grid = np.linspace(0.0, travel, 256)
+        predicted = np.full_like(grid, offset)
+        for power, coefficient in enumerate(coupling.coefficients, 1):
+            predicted += float(coefficient) * grid ** power
+        lower = float(limit.get("lower", "-inf"))
+        upper = float(limit.get("upper", "inf"))
+        if (
+            float(np.min(predicted)) < lower - 1.0e-8
+            or float(np.max(predicted)) > upper + 1.0e-8
+        ):
+            raise ValueError(
+                f"{target} fitted coupling range exceeds preserved passive limit"
+            )
+        measured = result.curves[measured_target]
+        observed = np.concatenate(
+            (
+                np.asarray(measured.decreasing_rad, dtype=float),
+                np.asarray(measured.increasing_rad, dtype=float),
+            )
+        ) + offset
+        if float(np.min(observed)) < lower - 1.0e-8 or float(
+            np.max(observed)
+        ) > upper + 1.0e-8:
+            raise ValueError(
+                f"{target} measured curve exceeds preserved passive limit"
+            )
+
+
+def write_l6_corrected_urdf(
+    *,
+    source_urdf: str | Path,
+    output_directory: str | Path,
+    serial_number: str,
+    result: L6FitResult,
+    timestamp: str | None = None,
+) -> L6UrdfCorrection:
+    source = Path(source_urdf).expanduser().resolve()
+    output = Path(output_directory).expanduser().resolve()
+    if not source.is_file():
+        raise ValueError(f"source URDF does not exist: {source}")
+    if "calibrated" in source.stem.lower():
+        raise ValueError("source URDF must be the immutable original CAD file")
+    if set(result.zero_offsets_rad) != CALIBRATED_ACTIVE_JOINTS:
+        raise ValueError("L6 zero result has the wrong active joint set")
+    if set(result.travels_rad) != CALIBRATED_ACTIVE_JOINTS:
+        raise ValueError("L6 travel result has the wrong active joint set")
+    if set(result.mimic_fits) != MEASURED_PASSIVE_JOINTS:
+        raise ValueError("L6 mimic result has the wrong passive joint set")
+
+    tree = ET.parse(source)
+    root = tree.getroot()
+    joints = {
+        str(joint.get("name")): joint for joint in root.findall("joint")
+    }
+    required = CORRECTED_ACTIVE_JOINTS | CORRECTED_PASSIVE_JOINTS
+    missing = required - set(joints)
+    if missing:
+        raise ValueError("source URDF is missing L6 targets: " + ",".join(sorted(missing)))
+    _validate_passive_ranges(joints, result)
+
+    active_replacements: dict[str, tuple[str, str, str]] = {}
+    for name in sorted(CORRECTED_ACTIVE_JOINTS):
+        measured_source = TRANSFERRED_ACTIVE_SOURCE_BY_JOINT.get(name, name)
+        offset = float(result.zero_offsets_rad[measured_source])
+        travel = float(result.travels_rad[measured_source])
+        if not math.isfinite(offset) or abs(offset) > math.radians(15.0):
+            raise ValueError(f"invalid L6 zero offset: {name}")
+        if not math.isfinite(travel) or not 0.0 < travel < math.pi:
+            raise ValueError(f"invalid L6 travel: {name}")
+        active_replacements[name] = (
+            _corrected_origin_rpy(joints[name], offset),
+            "0",
+            f"{travel:.15g}",
+        )
+
+    mimic_replacements = {
+        name: f"{float(result.mimic_fits[donor].urdf_mimic_multiplier):.15g}"
+        for name, donor in sorted(
+            {
+                target: TRANSFERRED_PASSIVE_SOURCE_BY_JOINT.get(
+                    target, target
+                )
+                for target in CORRECTED_PASSIVE_JOINTS
+            }.items()
+        )
+    }
+    explicit_runtime_joints = frozenset(
+        name for name in CORRECTED_PASSIVE_JOINTS
+        if result.mimic_fits[
+            TRANSFERRED_PASSIVE_SOURCE_BY_JOINT.get(name, name)
+        ].model == "quadratic_runtime"
+    )
+    coupling_polycoef = {
+        name: tuple(
+            float(value)
+            for value in result.mimic_fits[
+                TRANSFERRED_PASSIVE_SOURCE_BY_JOINT.get(name, name)
+            ].mujoco_polycoef
+        )
+        for name in sorted(CORRECTED_PASSIVE_JOINTS)
+    }
+    equality_replacements: dict[str, str] = {}
+    for equality in root.findall("./mujoco/equality/joint"):
+        target = str(equality.get("joint1", ""))
+        source_name = str(equality.get("joint2", ""))
+        if target not in coupling_polycoef:
+            continue
+        if MIMIC_SOURCE_BY_JOINT[target] != source_name:
+            raise ValueError(f"MuJoCo equality source differs for {target}")
+        coefficients = [
+            float(value) for value in str(equality.get("polycoef", "")).split()
+        ]
+        if len(coefficients) != 6:
+            raise ValueError(f"MuJoCo equality polycoef is invalid for {target}")
+        offset = float(joints[target].find("mimic").get("offset", "0"))
+        coefficients = list(coupling_polycoef[target])
+        coefficients[0] = offset
+        equality_name = str(equality.get("name", ""))
+        if not equality_name:
+            raise ValueError(f"MuJoCo equality has no name for {target}")
+        equality_replacements[equality_name] = " ".join(
+            f"{value:.15g}" for value in coefficients
+        )
+    if len(equality_replacements) != len(coupling_polycoef):
+        raise ValueError("source URDF lacks a MuJoCo equality for fitted coupling")
+
+    original = source.read_text(encoding="utf-8")
+    # The file also contains MuJoCo/transmission ``<joint>`` elements.  Requiring
+    # a URDF ``type`` attribute keeps the surgical block replacement confined
+    # to the eleven kinematic joints.
+    joint_pattern = re.compile(
+        r"<joint\b(?=[^>]*\btype\s*=)[^>]*\bname\s*=\s*"
+        r"([\"'])(?P<name>[^\"']+)\1[^>]*>"
+        r".*?</joint>",
+        re.DOTALL,
+    )
+
+    def replace_joint(match: re.Match[str]) -> str:
+        name = match.group("name")
+        block = match.group(0)
+        if name in active_replacements:
+            rpy, lower, upper = active_replacements[name]
+            block = _replace_attribute(block, "origin", "rpy", rpy)
+            block = _replace_attribute(block, "limit", "lower", lower)
+            block = _replace_attribute(block, "limit", "upper", upper)
+        if name in mimic_replacements:
+            block = _replace_attribute(
+                block, "mimic", "multiplier", mimic_replacements[name]
+            )
+        return block
+
+    corrected = joint_pattern.sub(replace_joint, original)
+    for equality_name, polycoef in equality_replacements.items():
+        equality_pattern = re.compile(
+            rf"(<joint\b[^>]*\bname\s*=\s*([\"'])"
+            rf"{re.escape(equality_name)}\2[^>]*>)",
+            re.DOTALL,
+        )
+        match = equality_pattern.search(corrected)
+        if match is None:
+            raise ValueError(f"could not locate MuJoCo equality {equality_name}")
+        replacement = _replace_attribute(
+            match.group(0), "joint", "polycoef", polycoef
+        )
+        corrected = corrected[: match.start()] + replacement + corrected[match.end() :]
+
+    stamp = timestamp or datetime.now().strftime("%Y%m%d_%H%M%S")
+    if re.fullmatch(r"\d{8}_\d{6}", stamp) is None:
+        raise ValueError("URDF zero timestamp must use YYYYMMDD_HHMMSS")
+    safe_serial = "".join(
+        char if char.isalnum() or char in "_.-" else "_"
+        for char in str(serial_number)
+    )
+    if not safe_serial:
+        raise ValueError("serial number must not be empty")
+    output.mkdir(parents=True, exist_ok=True)
+    destination = output / (
+        f"{source.stem}_partial_zero_calibrated_{safe_serial}_{stamp}.urdf"
+    )
+    if destination.exists() or destination == source:
+        raise ValueError(f"refusing to overwrite URDF: {destination}")
+    _materialize_relative_mesh_assets(source=source, output=output, urdf_root=root)
+    # Keep the complete vendor mesh bundle beside the generated URDF, including
+    # auxiliary meshes not referenced by this particular XML revision.
+    source_meshes = source.parent / "meshes"
+    if source_meshes.is_dir():
+        destination_meshes = output / "meshes"
+        destination_meshes.mkdir(parents=True, exist_ok=True)
+        for mesh in source_meshes.iterdir():
+            if mesh.is_file():
+                shutil.copy2(mesh, destination_meshes / mesh.name)
+    temporary = destination.with_suffix(".urdf.tmp")
+    try:
+        with temporary.open("w", encoding="utf-8") as stream:
+            stream.write(corrected)
+            stream.flush()
+            os.fsync(stream.fileno())
+        os.replace(temporary, destination)
+    finally:
+        if temporary.exists():
+            temporary.unlink()
+    return L6UrdfCorrection(
+        path=destination,
+        origin_offsets_rad={
+            name: float(
+                result.zero_offsets_rad[
+                    TRANSFERRED_ACTIVE_SOURCE_BY_JOINT.get(name, name)
+                ]
+            )
+            for name in sorted(CORRECTED_ACTIVE_JOINTS)
+        },
+        corrected_limits_rad={
+            name: (
+                0.0,
+                float(
+                    result.travels_rad[
+                        TRANSFERRED_ACTIVE_SOURCE_BY_JOINT.get(name, name)
+                    ]
+                ),
+            )
+            for name in sorted(CORRECTED_ACTIVE_JOINTS)
+        },
+        mimic_multipliers={
+            name: float(
+                result.mimic_fits[
+                    TRANSFERRED_PASSIVE_SOURCE_BY_JOINT.get(name, name)
+                ].urdf_mimic_multiplier
+            )
+            for name in sorted(mimic_replacements)
+        },
+        coupling_polycoef=coupling_polycoef,
+        explicit_runtime_joints=explicit_runtime_joints,
+    )
+
+
+__all__ = ["L6UrdfCorrection", "write_l6_corrected_urdf"]

src/linkerhand_calibration/linkerhand_calibration/models/registry.py

@@ -0,0 +1,86 @@
+"""Local, deterministic profile registry for this ROS package."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Any, Callable, Iterator
+
+from ..core import CalibrationProfile, ProfileKey, validate_profile
+
+
+@dataclass(frozen=True)
+class EngineBindings:
+    """Temporary bridge from typed policies to the proven engine objects."""
+
+    hand_profile: Any
+    zero_profile: Any
+    motion_command: Callable[..., list[int]]
+    preparation_waypoints: Callable[..., tuple[tuple[int, ...], ...]]
+    return_waypoints: Callable[..., tuple[tuple[int, ...], ...]]
+    cli_main: Callable[[list[str] | None], None]
+    node_main: Callable[[list[str] | None], None]
+
+
+@dataclass(frozen=True)
+class RegisteredProfile:
+    profile: CalibrationProfile
+    engine: EngineBindings
+
+
+class ProfileRegistry:
+    """An in-package registry; no discovery plugins or string evaluation."""
+
+    def __init__(self) -> None:
+        self._profiles: dict[ProfileKey, RegisteredProfile] = {}
+
+    def register(self, registered: RegisteredProfile) -> None:
+        validate_profile(registered.profile)
+        key = registered.profile.key
+        existing = self._profiles.get(key)
+        if existing is not None and existing != registered:
+            raise ValueError(f"profile is already registered: {key.profile_id}")
+        self._profiles[key] = registered
+
+    def get(self, key: ProfileKey) -> RegisteredProfile:
+        try:
+            return self._profiles[key]
+        except KeyError as error:
+            supported = ", ".join(
+                item.profile_id for item in sorted(self._profiles)
+            )
+            raise ValueError(
+                f"unsupported calibration profile {key.profile_id}; "
+                f"registered={supported}"
+            ) from error
+
+    def resolve(
+        self,
+        model: str,
+        side: str,
+        layout: str,
+        revision: int = 1,
+    ) -> RegisteredProfile:
+        return self.get(ProfileKey(model, side, layout, revision))
+
+    def __iter__(self) -> Iterator[RegisteredProfile]:
+        for key in sorted(self._profiles):
+            yield self._profiles[key]
+
+    def __len__(self) -> int:
+        return len(self._profiles)
+
+
+_DEFAULT_REGISTRY: ProfileRegistry | None = None
+
+
+def get_default_registry() -> ProfileRegistry:
+    global _DEFAULT_REGISTRY
+    if _DEFAULT_REGISTRY is None:
+        from .g20 import register_profiles
+        from .l6 import register_profiles as register_l6_profiles
+
+        registry = ProfileRegistry()
+        register_profiles(registry)
+        register_l6_profiles(registry)
+        _DEFAULT_REGISTRY = registry
+    return _DEFAULT_REGISTRY

src/linkerhand_calibration/linkerhand_calibration/node.py

@@ -36,7 +36,7 @@ from .acquisition import (
     interpolate_state_u8,
     tag_quality_is_valid,
 )
-from .core import (
+from .compat.legacy.thumb_core import (
     BASELINE_COMMAND,
     COMMAND_NAMES,
     DIRECTION_DECREASING,

src/linkerhand_calibration/linkerhand_calibration/offline_replay.py

@@ -0,0 +1,7 @@
+"""One-release module alias for the relocated model replay implementation."""
+
+import sys
+
+from .models.g20 import offline_replay as _implementation
+
+sys.modules[__name__] = _implementation

src/linkerhand_calibration/linkerhand_calibration/one_command.py

@@ -0,0 +1,9 @@
+"""Compatibility import for the generic registered-profile runner."""
+
+from .runtime.runner import main
+
+__all__ = ["main"]
+
+
+if __name__ == "__main__":
+    main()

src/linkerhand_calibration/linkerhand_calibration/operator_report.py

@@ -21,6 +21,37 @@ def _duration(seconds: float | None) -> str:
     return f"{value // 60}分{value % 60:02d}秒"
 
 
+def render_compact_progress_header_zh(
+    *,
+    serial_number: str,
+    progress: float,
+    eta: str,
+    stage: str,
+    cycle: object,
+    repetitions: object,
+    task: str,
+    requested: object,
+    actual: object,
+    direction: str,
+    tag_status: str,
+    ready_cameras: int,
+    feedback_hz: float,
+    valid_frames: int,
+    automatic_retry_count: int,
+) -> list[str]:
+    """Render the model-independent five-line operator progress header."""
+    return [
+        f"[{serial_number}] 标定中  {float(progress) * 100:5.1f}%  "
+        f"预计剩余 {eta}",
+        f"阶段：{stage}（第 {cycle}/{repetitions} 轮）",
+        f"任务：{task}  命令/反馈：{requested}/{actual}  方向：{direction}",
+        f"Tag：{tag_status}  相机：{int(ready_cameras)}/3 正常  "
+        f"反馈：{float(feedback_hz):.1f} Hz",
+        f"质量：有效帧 {int(valid_frames)}  已自动重扫 "
+        f"{int(automatic_retry_count)} 次",
+    ]
+
+
 def _task_tag_id_status(views: Mapping[str, Any]) -> str:
     """Render every currently required Tag ID with its live visibility."""
     labels = {"front": "正面", "side": "侧面", "top": "顶部"}
@@ -273,13 +304,23 @@ def render_progress_zh(
         == "waiting_for_task_tags_at_sweep_start"
         else _duration(estimator.remaining(progress))
     )
-    lines = [
-            f"[{serial_number}] 标定中  {progress * 100:5.1f}%  预计剩余 {eta}",
-            f"阶段：{stage}（第 {cycle}/{repetitions} 轮）",
-            f"任务：{joint}  命令/反馈：{requested}/{actual}  方向：{direction}",
-            f"Tag：{tag_status}{task_tag_ids}  相机：{ready_cameras}/3 正常  反馈：{feedback_hz:.1f} Hz",
-            f"质量：有效帧 {active.get('valid_frames', 0)}  已自动重扫 {retry} 次",
-    ]
+    lines = render_compact_progress_header_zh(
+        serial_number=serial_number,
+        progress=progress,
+        eta=eta,
+        stage=stage,
+        cycle=cycle,
+        repetitions=repetitions,
+        task=joint,
+        requested=requested,
+        actual=actual,
+        direction=direction,
+        tag_status=tag_status + task_tag_ids,
+        ready_cameras=ready_cameras,
+        feedback_hz=feedback_hz,
+        valid_frames=int(active.get("valid_frames", 0)),
+        automatic_retry_count=retry,
+    )
     if str(status.get("reason", "")) == "waiting_for_task_tags_at_sweep_start":
         pnp_wait = _pnp_wait_status(views)
         if pnp_wait:
@@ -305,13 +346,24 @@ def render_progress_zh(
             f"{fit_attempt_limit - 1} 次异常轮补采）"
         )
     resume = status.get("resume", {})
-    if isinstance(resume, Mapping) and resume.get("used"):
-        lines.append(
-            "断点：已恢复 "
-            f"{int(resume.get('completed_task_count', 0))}/"
-            f"{int(resume.get('total_task_count', 16))} 个完整任务；"
-            "失败任务已丢弃并重新采集"
-        )
+    if isinstance(resume, Mapping):
+        position_policy = str(resume.get("start_position_policy", ""))
+        if resume.get("checkpoint_pending"):
+            lines.append(
+                "断点：正在建立本次起始位置基准，完成后再决定是否复用旧任务"
+            )
+        elif position_policy.startswith("discard_all_tasks_"):
+            lines.append(
+                "位置：检测到标定前机械手位置已变化或旧位置无法可靠验证；"
+                "未混用旧断点，本次整手从头采集"
+            )
+        elif resume.get("used"):
+            lines.append(
+                "断点：已恢复 "
+                f"{int(resume.get('completed_task_count', 0))}/"
+                f"{int(resume.get('total_task_count', 16))} 个完整任务；"
+                "起始位置一致，失败任务已丢弃并重新采集"
+            )
     return "\n".join(lines)
 
 

src/linkerhand_calibration/linkerhand_calibration/pnp.py

@@ -0,0 +1,3 @@
+"""Compatibility import for the model-independent PnP implementation."""
+
+from .core.geometry.pnp import *  # noqa: F401,F403