Merge branch 'main' into usd-integration

python/LQR.ipynb

@@ -6,11 +6,11 @@
         "id": "bR2IJtzSilBv"
       },
       "source": [
-        "![MuJoCo banner](https://raw.githubusercontent.com/deepmind/mujoco/main/banner.png)\n",
+        "![MuJoCo banner](https://raw.githubusercontent.com/google-deepmind/mujoco/main/banner.png)\n",
         "\n",
-        "# \u003ch1\u003e\u003ccenter\u003eLQR tutorial  \u003ca href=\"https://colab.research.google.com/github/deepmind/mujoco/blob/main/python/LQR.ipynb\"\u003e\u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" width=\"140\" align=\"center\"/\u003e\u003c/a\u003e\u003c/center\u003e\u003c/h1\u003e\n",
+        "# \u003ch1\u003e\u003ccenter\u003eLQR tutorial  \u003ca href=\"https://colab.research.google.com/github/google-deepmind/mujoco/blob/main/python/LQR.ipynb\"\u003e\u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" width=\"140\" align=\"center\"/\u003e\u003c/a\u003e\u003c/center\u003e\u003c/h1\u003e\n",
         "\n",
-        "This notebook provides an example of an LQR controller using [**MuJoCo** physics](https://github.com/deepmind/mujoco#readme).\n",
+        "This notebook provides an example of an LQR controller using [**MuJoCo** physics](https://github.com/google-deepmind/mujoco#readme).\n",
         "\n",
         "**A Colab runtime with GPU acceleration is required.** If you're using a CPU-only runtime, you can switch using the menu \"Runtime \u003e Change runtime type\".\n"
       ]
@@ -153,7 +153,7 @@
       "outputs": [],
       "source": [
         "print('Getting MuJoCo humanoid XML description from GitHub:')\n",
-        "!git clone https://github.com/deepmind/mujoco\n",
+        "!git clone https://github.com/google-deepmind/mujoco\n",
         "with open('mujoco/model/humanoid/humanoid.xml', 'r') as f:\n",
         "  xml = f.read()"
       ]

python/README.md

@@ -8,7 +8,7 @@
 [pypi]: https://pypi.org/project/mujoco/
 
 This package is the canonical Python bindings for the
-[MuJoCo physics engine](https://github.com/deepmind/mujoco).
+[MuJoCo physics engine](https://github.com/google-deepmind/mujoco).
 These bindings are developed and maintained by Google DeepMind, and is kept
 up-to-date with the latest developments in MuJoCo itself.
 
@@ -52,7 +52,7 @@ further detail on the package's API.
 
 We recommend going through the tutorial notebook which covers the basics of
 MuJoCo using Python:
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/deepmind/mujoco/blob/main/python/tutorial.ipynb)
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/google-deepmind/mujoco/blob/main/python/tutorial.ipynb)
 
 ## Versioning
 

python/setup.py

@@ -354,7 +354,7 @@ SETUP_KWARGS = dict(
     description='MuJoCo Physics Simulator',
     long_description=get_long_description(),
     long_description_content_type='text/markdown',
-    url='https://github.com/deepmind/mujoco',
+    url='https://github.com/google-deepmind/mujoco',
     license='Apache License 2.0',
     classifiers=[
         'Development Status :: 5 - Production/Stable',

python/tutorial.ipynb

@@ -6,11 +6,11 @@
         "id": "MpkYHwCqk7W-"
       },
       "source": [
-        "![MuJoCo banner](https://raw.githubusercontent.com/deepmind/mujoco/main/banner.png)\n",
+        "![MuJoCo banner](https://raw.githubusercontent.com/google-deepmind/mujoco/main/banner.png)\n",
         "\n",
-        "# \u003ch1\u003e\u003ccenter\u003eTutorial  \u003ca href=\"https://colab.research.google.com/github/deepmind/mujoco/blob/main/python/tutorial.ipynb\"\u003e\u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" width=\"140\" align=\"center\"/\u003e\u003c/a\u003e\u003c/center\u003e\u003c/h1\u003e\n",
+        "# \u003ch1\u003e\u003ccenter\u003eTutorial  \u003ca href=\"https://colab.research.google.com/github/google-deepmind/mujoco/blob/main/python/tutorial.ipynb\"\u003e\u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" width=\"140\" align=\"center\"/\u003e\u003c/a\u003e\u003c/center\u003e\u003c/h1\u003e\n",
         "\n",
-        "This notebook provides an introductory tutorial for [**MuJoCo** physics](https://github.com/deepmind/mujoco#readme), using the native Python bindings.\n",
+        "This notebook provides an introductory tutorial for [**MuJoCo** physics](https://github.com/google-deepmind/mujoco#readme), using the native Python bindings.\n",
         "\n",
         "**A Colab runtime with GPU acceleration is required.** If you're using a CPU-only runtime, you can switch using the menu \"Runtime \u003e Change runtime type\".\n",
         "\n",
@@ -198,7 +198,7 @@
       "source": [
         "## mjModel\n",
         "\n",
-        "MuJoCo's `mjModel`, contains the *model description*, i.e., all quantities which *do not change over time*. The complete description of `mjModel` can be found at the end of the header file [`mjmodel.h`](https://github.com/deepmind/mujoco/blob/main/include/mujoco/mjmodel.h). Note that the header files contain short, useful inline comments, describing each field.\n",
+        "MuJoCo's `mjModel`, contains the *model description*, i.e., all quantities which *do not change over time*. The complete description of `mjModel` can be found at the end of the header file [`mjmodel.h`](https://github.com/google-deepmind/mujoco/blob/main/include/mujoco/mjmodel.h). Note that the header files contain short, useful inline comments, describing each field.\n",
         "\n",
         "Examples of quantities that can be found in `mjModel` are `ngeom`, the number of geoms in the scene and `geom_rgba`, their respective colors:"
       ]