Files
Mujoco_WASM/src/engine/engine_forward.c
T
Taylor Howell 52ed96bc3a Move tendon sparsity fields from mjData to mjModel
PiperOrigin-RevId: 875087590
Change-Id: I1a5489d2d2011795ee38b09d547e68acd72e3cc7
2026-02-25 04:32:11 -08:00

1551 lines
45 KiB
C

// Copyright 2021 DeepMind Technologies Limited
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "engine/engine_forward.h"
#include <stddef.h>
#include <stdio.h>
#include <mujoco/mjdata.h>
#include <mujoco/mjmacro.h>
#include <mujoco/mjmodel.h>
#include <mujoco/mjsan.h> // IWYU pragma: keep
#include <mujoco/mjplugin.h>
#include "engine/engine_callback.h"
#include "engine/engine_collision_driver.h"
#include "engine/engine_core_constraint.h"
#include "engine/engine_core_smooth.h"
#include "engine/engine_derivative.h"
#include "engine/engine_core_util.h"
#include "engine/engine_inverse.h"
#include "engine/engine_island.h"
#include "engine/engine_macro.h"
#include "engine/engine_memory.h"
#include "engine/engine_passive.h"
#include "engine/engine_plugin.h"
#include "engine/engine_sensor.h"
#include "engine/engine_sleep.h"
#include "engine/engine_solver.h"
#include "engine/engine_support.h"
#include "engine/engine_util_blas.h"
#include "engine/engine_util_errmem.h"
#include "engine/engine_util_misc.h"
#include "engine/engine_util_solve.h"
#include "engine/engine_util_sparse.h"
#include "thread/thread_pool.h"
#include "thread/thread_task.h"
//--------------------------- check values ---------------------------------------------------------
// check positions, reset if bad
void mj_checkPos(const mjModel* m, mjData* d) {
int nq = m->nq;
const mjtNum* qpos = d->qpos;
for (int i=0; i < nq; i++) {
if (mju_isBad(qpos[i])) {
mj_warning(d, mjWARN_BADQPOS, i);
if (!mjDISABLED(mjDSBL_AUTORESET)) {
mj_resetData(m, d);
}
d->warning[mjWARN_BADQPOS].number++;
d->warning[mjWARN_BADQPOS].lastinfo = i;
return;
}
}
}
// check velocities, reset if bad
void mj_checkVel(const mjModel* m, mjData* d) {
int sleep_filter = mjENABLED(mjENBL_SLEEP) && d->nv_awake < m->nv;
int nv = sleep_filter ? d->nv_awake : m->nv;
for (int j=0; j < nv; j++) {
int i = sleep_filter ? d->dof_awake_ind[j] : j;
if (mju_isBad(d->qvel[i])) {
mj_warning(d, mjWARN_BADQVEL, i);
if (!mjDISABLED(mjDSBL_AUTORESET)) {
mj_resetData(m, d);
}
d->warning[mjWARN_BADQVEL].number++;
d->warning[mjWARN_BADQVEL].lastinfo = i;
return;
}
}
}
// check accelerations, reset if bad
void mj_checkAcc(const mjModel* m, mjData* d) {
int sleep_filter = mjENABLED(mjENBL_SLEEP) && d->nv_awake < m->nv;
int nv = sleep_filter ? d->nv_awake : m->nv;
for (int j=0; j < nv; j++) {
int i = sleep_filter ? d->dof_awake_ind[j] : j;
if (mju_isBad(d->qacc[i])) {
mj_warning(d, mjWARN_BADQACC, i);
if (!mjDISABLED(mjDSBL_AUTORESET)) {
mj_resetData(m, d);
}
d->warning[mjWARN_BADQACC].number++;
d->warning[mjWARN_BADQACC].lastinfo = i;
if (!mjDISABLED(mjDSBL_AUTORESET)) {
mj_forward(m, d);
}
return;
}
}
}
//-------------------------- solver components -----------------------------------------------------
// args for internal functions in mj_fwdPosition
struct mjFwdPositionArgs_ {
const mjModel* m;
mjData* d;
};
typedef struct mjFwdPositionArgs_ mjFwdPositionArgs;
// wrapper for mj_crb and mj_factorM
void* mj_inertialThreaded(void* args) {
mjFwdPositionArgs* forward_args = (mjFwdPositionArgs*) args;
mj_makeM(forward_args->m, forward_args->d);
mj_factorM(forward_args->m, forward_args->d);
return NULL;
}
// wrapper for mj_collision
void* mj_collisionThreaded(void* args) {
mjFwdPositionArgs* forward_args = (mjFwdPositionArgs*) args;
mj_collision(forward_args->m, forward_args->d);
return NULL;
}
// kinematics-related computations
void mj_fwdKinematics(const mjModel* m, mjData* d) {
mj_kinematics(m, d);
mj_comPos(m, d);
mj_camlight(m, d);
mj_flex(m, d);
mj_tendon(m, d);
if (mj_wakeTendon(m, d)) {
mj_updateSleep(m, d);
}
}
// position-dependent computations
void mj_fwdPosition(const mjModel* m, mjData* d) {
TM_START1;
// clear position-dependent flags for lazy evaluation
d->flg_energypos = 0;
TM_START;
mj_fwdKinematics(m, d);
TM_END(mjTIMER_POS_KINEMATICS);
// no threadpool: inertia and collision on main thread
if (!d->threadpool) {
// inertia, timed internally (POS_INERTIA)
mj_makeM(m, d);
mj_factorM(m, d);
// collision, timed internally (POS_COLLISION)
mj_collision(m, d);
}
// have threadpool: inertia and collision on separate threads
else {
mjTask tasks[2];
mjFwdPositionArgs forward_args;
forward_args.m = m;
forward_args.d = d;
mju_defaultTask(&tasks[0]);
tasks[0].func = mj_inertialThreaded;
tasks[0].args = &forward_args;
mju_threadPoolEnqueue((mjThreadPool*)d->threadpool, &tasks[0]);
mju_defaultTask(&tasks[1]);
tasks[1].func = mj_collisionThreaded;
tasks[1].args = &forward_args;
mju_threadPoolEnqueue((mjThreadPool*)d->threadpool, &tasks[1]);
mju_taskJoin(&tasks[0]);
mju_taskJoin(&tasks[1]);
}
if (mj_wakeCollision(m, d)) {
mj_updateSleep(m, d);
mj_collision(m, d);
}
if (mj_wakeEquality(m, d)) {
mj_updateSleep(m, d);
}
TM_RESTART;
mj_makeConstraint(m, d);
mj_island(m, d);
TM_END(mjTIMER_POS_MAKE);
TM_RESTART;
mj_transmission(m, d);
TM_ADD(mjTIMER_POS_KINEMATICS);
TM_RESTART;
mj_projectConstraint(m, d);
TM_END(mjTIMER_POS_PROJECT);
TM_END1(mjTIMER_POSITION);
}
// velocity-dependent computations
void mj_fwdVelocity(const mjModel* m, mjData* d) {
TM_START;
// clear velocity-dependent flags for lazy evaluation
d->flg_subtreevel = 0;
d->flg_energyvel = 0;
// flexedge velocity: always sparse
mju_mulMatVecSparse(d->flexedge_velocity, d->flexedge_J, d->qvel, m->nflexedge,
m->flexedge_J_rownnz, m->flexedge_J_rowadr, m->flexedge_J_colind, NULL);
// tendon velocity: always sparse
mju_mulMatVecSparse(d->ten_velocity, d->ten_J, d->qvel, m->ntendon,
m->ten_J_rownnz, m->ten_J_rowadr, m->ten_J_colind, NULL);
// actuator velocity: always sparse
if (!mjDISABLED(mjDSBL_ACTUATION)) {
mju_mulMatVecSparse(d->actuator_velocity, d->actuator_moment, d->qvel, m->nu,
d->moment_rownnz, d->moment_rowadr, d->moment_colind, NULL);
} else {
mju_zero(d->actuator_velocity, m->nu);
}
// com-based velocities, passive forces, constraint references
mj_comVel(m, d);
mj_passive(m, d);
mj_referenceConstraint(m, d);
// compute qfrc_bias with abbreviated RNE (without acceleration)
mj_rne(m, d, 0, d->qfrc_bias);
// add bias force due to tendon armature
mj_tendonBias(m, d, d->qfrc_bias);
TM_END(mjTIMER_VELOCITY);
}
// clamp vector to range
static void clampVec(mjtNum* vec, const mjtNum* range, const mjtByte* limited, int n,
const int* index) {
for (int i=0; i < n; i++) {
int j = index ? index[i] : i;
if (limited[i]) {
vec[j] = mju_clip(vec[j], range[2*i], range[2*i + 1]);
}
}
}
// (qpos, qvel, ctrl, act) => (qfrc_actuator, actuator_force, act_dot)
void mj_fwdActuation(const mjModel* m, mjData* d) {
TM_START;
int nv = m->nv, nu = m->nu, ntendon = m->ntendon;
mjtNum gain, bias, tau;
mjtNum *prm, *force = d->actuator_force;
// clear actuator_force
mju_zero(force, nu);
int sleep_filter = mjENABLED(mjENBL_SLEEP);
// disabled or no actuation: return
if (nu == 0 || mjDISABLED(mjDSBL_ACTUATION)) {
mju_zero(d->qfrc_actuator, nv);
return;
}
// any tendon transmission targets with force limits
int tendon_frclimited = 0;
// local copy of ctrl
mj_markStack(d);
mjtNum *ctrl = mjSTACKALLOC(d, nu, mjtNum);
// read from ctrl or history buffer for delayed actuators
for (int i = 0; i < nu; i++) {
int interp = m->actuator_history[2*i+1];
ctrl[i] = m->actuator_delay[i] ? mj_readCtrl(m, d, i, d->time, interp) : d->ctrl[i];
}
// clamp local copy
if (!mjDISABLED(mjDSBL_CLAMPCTRL)) {
clampVec(ctrl, m->actuator_ctrlrange, m->actuator_ctrllimited, nu, NULL);
}
// check controls, set all to 0 if any are bad
for (int i=0; i < nu; i++) {
if (mju_isBad(ctrl[i])) {
mj_warning(d, mjWARN_BADCTRL, i);
mju_zero(ctrl, nu);
break;
}
}
// act_dot for stateful actuators
for (int i=0; i < nu; i++) {
if (sleep_filter && mj_sleepState(m, d, mjOBJ_ACTUATOR, i) == mjS_ASLEEP) {
continue;
}
int act_first = m->actuator_actadr[i];
if (act_first < 0) {
continue;
}
// zero act_dot for actuator plugins
if (m->actuator_actnum[i]) {
mju_zero(d->act_dot + act_first, m->actuator_actnum[i]);
}
// extract info
prm = m->actuator_dynprm + i*mjNDYN;
// index into the last element in act. For most actuators it's also the
// first element, but actuator plugins might store their own state in act.
int act_last = act_first + m->actuator_actnum[i] - 1;
// compute act_dot according to dynamics type
switch ((mjtDyn) m->actuator_dyntype[i]) {
case mjDYN_INTEGRATOR: // simple integrator
d->act_dot[act_last] = ctrl[i];
break;
case mjDYN_FILTER: // linear filter: prm = tau
case mjDYN_FILTEREXACT:
tau = mju_max(mjMINVAL, prm[0]);
d->act_dot[act_last] = (ctrl[i] - d->act[act_last]) / tau;
break;
case mjDYN_MUSCLE: // muscle model: prm = (tau_act, tau_deact)
d->act_dot[act_last] = mju_muscleDynamics(
ctrl[i], d->act[act_last], prm);
break;
default: // user dynamics
if (mjcb_act_dyn) {
if (m->actuator_actnum[i] == 1) {
// scalar activation dynamics, get act_dot
d->act_dot[act_last] = mjcb_act_dyn(m, d, i);
} else {
// higher-order dynamics, mjcb_act_dyn writes into act_dot directly
mjcb_act_dyn(m, d, i);
}
}
}
}
// get act_dot from actuator plugins
if (m->nplugin) {
const int nslot = mjp_pluginCount();
for (int i=0; i < m->nplugin; i++) {
const int slot = m->plugin[i];
const mjpPlugin* plugin = mjp_getPluginAtSlotUnsafe(slot, nslot);
if (!plugin) {
mjERROR("invalid plugin slot: %d", slot);
}
if (plugin->capabilityflags & mjPLUGIN_ACTUATOR) {
if (plugin->actuator_act_dot) {
plugin->actuator_act_dot(m, d, i);
}
}
}
}
// force = gain .* [ctrl/act] + bias
for (int i=0; i < nu; i++) {
// skip if sleeping
if (sleep_filter && mj_sleepState(m, d, mjOBJ_ACTUATOR, i) == mjS_ASLEEP) {
continue;
}
// skip if disabled
if (mj_actuatorDisabled(m, i)) {
continue;
}
// skip actuator plugins -- these are handled after builtin actuator types
if (m->actuator_plugin[i] >= 0) {
continue;
}
// check for tendon transmission with force limits
if (ntendon && !tendon_frclimited && m->actuator_trntype[i] == mjTRN_TENDON) {
tendon_frclimited = m->tendon_actfrclimited[m->actuator_trnid[2*i]];
}
// extract gain info
prm = m->actuator_gainprm + mjNGAIN*i;
// handle according to gain type
switch ((mjtGain) m->actuator_gaintype[i]) {
case mjGAIN_FIXED: // fixed gain: prm = gain
gain = prm[0];
break;
case mjGAIN_AFFINE: // affine: prm = [const, kp, kv]
gain = prm[0] + prm[1]*d->actuator_length[i] + prm[2]*d->actuator_velocity[i];
break;
case mjGAIN_MUSCLE: // muscle gain
gain = mju_muscleGain(d->actuator_length[i],
d->actuator_velocity[i],
m->actuator_lengthrange+2*i,
m->actuator_acc0[i],
prm);
break;
default: // user gain
if (mjcb_act_gain) {
gain = mjcb_act_gain(m, d, i);
} else {
gain = 1;
}
}
// set force = gain .* [ctrl/act]
if (m->actuator_actadr[i] == -1) {
force[i] = gain * ctrl[i];
} else {
// use last activation variable associated with actuator i
int act_adr = m->actuator_actadr[i] + m->actuator_actnum[i] - 1;
mjtNum act;
if (m->actuator_actearly[i]) {
act = mj_nextActivation(m, d, i, act_adr, d->act_dot[act_adr]);
} else {
act = d->act[act_adr];
}
force[i] = gain * act;
}
// extract bias info
prm = m->actuator_biasprm + mjNBIAS*i;
// handle according to bias type
switch ((mjtBias) m->actuator_biastype[i]) {
case mjBIAS_NONE: // none
bias = 0.0;
break;
case mjBIAS_AFFINE: // affine: prm = [const, kp, kv]
bias = prm[0] + prm[1]*d->actuator_length[i] + prm[2]*d->actuator_velocity[i];
break;
case mjBIAS_MUSCLE: // muscle passive force
bias = mju_muscleBias(d->actuator_length[i],
m->actuator_lengthrange+2*i,
m->actuator_acc0[i],
prm);
break;
default: // user bias
if (mjcb_act_bias) {
bias = mjcb_act_bias(m, d, i);
} else {
bias = 0;
}
}
// add bias
force[i] += bias;
}
// handle actuator plugins
if (m->nplugin) {
const int nslot = mjp_pluginCount();
for (int i=0; i < m->nplugin; i++) {
const int slot = m->plugin[i];
const mjpPlugin* plugin = mjp_getPluginAtSlotUnsafe(slot, nslot);
if (!plugin) {
mjERROR("invalid plugin slot: %d", slot);
}
if (plugin->capabilityflags & mjPLUGIN_ACTUATOR) {
if (!plugin->compute) {
mjERROR("`compute` is a null function pointer for plugin at slot %d", slot);
}
plugin->compute(m, d, i, mjPLUGIN_ACTUATOR);
}
}
}
// clamp tendon total actuator force
if (tendon_frclimited) {
// compute total force for each tendon
mjtNum* tendon_total_force = mjSTACKALLOC(d, ntendon, mjtNum);
mju_zero(tendon_total_force, ntendon);
for (int i=0; i < nu; i++) {
if (m->actuator_trntype[i] == mjTRN_TENDON) {
int tendon_id = m->actuator_trnid[2*i];
if (m->tendon_actfrclimited[tendon_id]) {
tendon_total_force[tendon_id] += force[i];
}
}
}
// scale tendon actuator forces if limited and outside range
for (int i=0; i < nu; i++) {
if (m->actuator_trntype[i] != mjTRN_TENDON) {
continue;
}
int tendon_id = m->actuator_trnid[2*i];
mjtNum tendon_force = tendon_total_force[tendon_id];
if (m->tendon_actfrclimited[tendon_id] && tendon_force) {
const mjtNum* range = m->tendon_actfrcrange + 2 * tendon_id;
if (tendon_force < range[0]) {
force[i] *= range[0] / tendon_force;
} else if (tendon_force > range[1]) {
force[i] *= range[1] / tendon_force;
}
}
}
}
// clamp actuator_force
clampVec(force, m->actuator_forcerange, m->actuator_forcelimited, nu, NULL);
// qfrc_actuator = moment' * force
mju_mulMatTVecSparse(d->qfrc_actuator, d->actuator_moment, force, nu, nv,
d->moment_rownnz, d->moment_rowadr, d->moment_colind);
// actuator-level gravity compensation
if (m->ngravcomp && !mjDISABLED(mjDSBL_GRAVITY) && mju_norm3(m->opt.gravity)) {
// number of dofs for each joint type: {mjJNT_FREE, mjJNT_BALL, mjJNT_SLIDE, mjJNT_HINGE}
static const int jnt_dofnum[4] = {6, 3, 1, 1};
int njnt = m->njnt;
for (int i=0; i < njnt; i++) {
// skip if gravcomp added as passive force
if (!m->jnt_actgravcomp[i]) {
continue;
}
// add gravcomp force
int dofnum = jnt_dofnum[m->jnt_type[i]];
int dofadr = m->jnt_dofadr[i];
mju_addTo(d->qfrc_actuator + dofadr, d->qfrc_gravcomp + dofadr, dofnum);
}
}
// clamp qfrc_actuator to joint-level actuator force limits
clampVec(d->qfrc_actuator, m->jnt_actfrcrange, m->jnt_actfrclimited, m->njnt, m->jnt_dofadr);
mj_freeStack(d);
TM_END(mjTIMER_ACTUATION);
}
// add up all non-constraint forces, compute qacc_smooth
void mj_fwdAcceleration(const mjModel* m, mjData* d) {
int sleep_filter = mjENABLED(mjENBL_SLEEP) && d->nv_awake < m->nv;
int nv;
const int* index;
// qfrc_smooth = qfrc_passive - qfrc_bias + qfrc_applied + qfrc_actuator
if (!sleep_filter) {
nv = m->nv;
index = NULL;
mju_sub(d->qfrc_smooth, d->qfrc_passive, d->qfrc_bias, nv);
mju_addTo(d->qfrc_smooth, d->qfrc_applied, nv);
mju_addTo(d->qfrc_smooth, d->qfrc_actuator, nv);
} else {
nv = d->nv_awake;
index = d->dof_awake_ind;
mju_subInd(d->qfrc_smooth, d->qfrc_passive, d->qfrc_bias, index, nv);
mju_addToInd(d->qfrc_smooth, d->qfrc_applied, index, nv);
mju_addToInd(d->qfrc_smooth, d->qfrc_actuator, index, nv);
}
// qfrc_smooth += project(xfrc_applied)
mj_xfrcAccumulate(m, d, d->qfrc_smooth);
// copy for in-place solve: qacc_smooth = qfrc_smooth
if (!sleep_filter) {
mju_copy(d->qacc_smooth, d->qfrc_smooth, nv);
} else {
mju_copyInd(d->qacc_smooth, d->qfrc_smooth, index, nv);
}
// qacc_smooth = M \ qfrc_smooth
mj_solveLD(d->qacc_smooth, d->qLD, d->qLDiagInv, nv, 1,
m->M_rownnz, m->M_rowadr, m->M_colind, index);
}
// warmstart/init solver
static void warmstart(const mjModel* m, mjData* d) {
int nv = m->nv, nefc = d->nefc;
// warmstart with best of (qacc_warmstart, qacc_smooth)
if (!mjDISABLED(mjDSBL_WARMSTART)) {
mj_markStack(d);
mjtNum* jar = mjSTACKALLOC(d, nefc, mjtNum);
// start with qacc = qacc_warmstart
mju_copy(d->qacc, d->qacc_warmstart, nv);
// compute jar(qacc_warmstart)
mj_mulJacVec(m, d, jar, d->qacc_warmstart);
mju_subFrom(jar, d->efc_aref, nefc);
// update constraints, save cost(qacc_warmstart)
mjtNum cost_warmstart;
mj_constraintUpdate(m, d, jar, &cost_warmstart, 0);
// PGS
if (m->opt.solver == mjSOL_PGS) {
// cost(force_warmstart)
mjtNum PGS_warmstart = mju_dot(d->efc_force, d->efc_b, nefc);
mjtNum* ARf = mjSTACKALLOC(d, nefc, mjtNum);
if (mj_isSparse(m))
mju_mulMatVecSparse(ARf, d->efc_AR, d->efc_force, nefc,
d->efc_AR_rownnz, d->efc_AR_rowadr,
d->efc_AR_colind, NULL);
else {
mju_mulMatVec(ARf, d->efc_AR, d->efc_force, nefc, nefc);
}
PGS_warmstart += 0.5*mju_dot(d->efc_force, ARf, nefc);
// use zero if better
if (PGS_warmstart > 0) {
mju_zero(d->efc_force, nefc);
mju_zero(d->qfrc_constraint, nv);
}
}
// non-PGS
else {
// add Gauss to cost(qacc_warmstart)
mjtNum* Ma = mjSTACKALLOC(d, nv, mjtNum);
mj_mulM(m, d, Ma, d->qacc_warmstart);
for (int i=0; i < nv; i++) {
cost_warmstart += 0.5*(Ma[i]-d->qfrc_smooth[i])*(d->qacc_warmstart[i]-d->qacc_smooth[i]);
}
// cost(qacc_smooth)
mjtNum cost_smooth;
mj_constraintUpdate(m, d, d->efc_b, &cost_smooth, 0);
// use qacc_smooth if better
if (cost_warmstart > cost_smooth) {
mju_copy(d->qacc, d->qacc_smooth, nv);
}
}
// have island structure: unconstrained qacc = qacc_smooth
if (d->nisland > 0) {
// loop over unconstrained dofs in map_idof2dof[nidof, nv)
for (int i=d->nidof; i < nv; i++) {
int dof = d->map_idof2dof[i];
d->qacc[dof] = d->qacc_smooth[dof];
}
}
mj_freeStack(d);
}
// coldstart with qacc = qacc_smooth, efc_force = 0
else {
mju_copy(d->qacc, d->qacc_smooth, nv);
mju_zero(d->efc_force, nefc);
}
}
// struct encapsulating arguments to thread task
struct mjSolIslandArgs_ {
const mjModel* m;
mjData* d;
int island;
};
typedef struct mjSolIslandArgs_ mjSolIslandArgs;
// extract arguments, pass to CG solver
static void* CG_wrapper(void* args) {
mjSolIslandArgs* solargs = (mjSolIslandArgs*) args;
mj_solCG_island(solargs->m, solargs->d, solargs->island, solargs->m->opt.iterations);
return NULL;
}
// extract arguments, pass to Newton solver
static void* Newton_wrapper(void* args) {
mjSolIslandArgs* solargs = (mjSolIslandArgs*) args;
mj_solNewton_island(solargs->m, solargs->d, solargs->island, solargs->m->opt.iterations);
return NULL;
}
// CG solver, multi-threaded over islands
static void solve_threaded(const mjModel* m, mjData* d, int flg_Newton) {
mj_markStack(d);
// allocate array of arguments to be passed to threads
mjSolIslandArgs* sol_island_args = mjSTACKALLOC(d, d->nisland, mjSolIslandArgs);
mjTask* tasks = mjSTACKALLOC(d, d->nisland, mjTask);
for (int island = 0; island < d->nisland; ++island) {
sol_island_args[island].m = m;
sol_island_args[island].d = d;
sol_island_args[island].island = island;
mju_defaultTask(&tasks[island]);
tasks[island].func = flg_Newton ? Newton_wrapper : CG_wrapper;
tasks[island].args = &sol_island_args[island];
mju_threadPoolEnqueue((mjThreadPool*)d->threadpool, &tasks[island]);
}
for (int island = 0; island < d->nisland; ++island) {
mju_taskJoin(&tasks[island]);
}
mj_freeStack(d);
}
// compute efc_b, efc_force, qfrc_constraint; update qacc
void mj_fwdConstraint(const mjModel* m, mjData* d) {
TM_START;
int nv = m->nv, nefc = d->nefc, nisland = d->nisland;
// always clear qfrc_constraint
mju_zero(d->qfrc_constraint, nv);
// no constraints: copy unconstrained acc, clear forces, return
if (!nefc) {
mju_copy(d->qacc, d->qacc_smooth, nv);
mju_zeroInt(d->solver_niter, mjNISLAND);
TM_END(mjTIMER_CONSTRAINT);
return;
}
// compute efc_b = J*qacc_smooth - aref
mj_mulJacVec(m, d, d->efc_b, d->qacc_smooth);
mju_subFrom(d->efc_b, d->efc_aref, nefc);
// warmstart solver
warmstart(m, d);
mju_zeroInt(d->solver_niter, mjNISLAND);
// check if islands are supported
int islands_supported = !mjDISABLED(mjDSBL_ISLAND) &&
nisland > 0 &&
m->opt.noslip_iterations == 0 &&
(m->opt.solver == mjSOL_CG || m->opt.solver == mjSOL_NEWTON);
// run solver over constraint islands
if (islands_supported) {
int nidof = d->nidof;
// copy inputs to islands (vel+acc deps, pos-dependent already copied in mj_island)
mju_gather(d->ifrc_smooth, d->qfrc_smooth, d->map_idof2dof, nidof);
mju_gather(d->ifrc_constraint, d->qfrc_constraint, d->map_idof2dof, nidof);
mju_gather(d->iacc_smooth, d->qacc_smooth, d->map_idof2dof, nidof);
mju_gather(d->iacc, d->qacc, d->map_idof2dof, nidof);
mju_gather(d->iefc_force, d->efc_force, d->map_iefc2efc, nefc);
mju_gather(d->iefc_aref, d->efc_aref, d->map_iefc2efc, nefc);
// solve per island, with or without threads
if (!d->threadpool) {
// no threadpool, loop over islands
for (int island=0; island < nisland; island++) {
if (m->opt.solver == mjSOL_NEWTON) {
mj_solNewton_island(m, d, island, m->opt.iterations);
} else {
mj_solCG_island(m, d, island, m->opt.iterations);
}
}
} else {
// have threadpool, solve using threads
solve_threaded(m, d, m->opt.solver == mjSOL_NEWTON);
}
// copy back solver outputs (scatter dofs since ni <= nv)
mju_scatter(d->qacc, d->iacc, d->map_idof2dof, nidof);
mju_scatter(d->qfrc_constraint, d->ifrc_constraint, d->map_idof2dof, nidof);
mju_gather(d->efc_force, d->iefc_force, d->map_efc2iefc, nefc);
}
// run solver over all constraints
else {
switch ((mjtSolver) m->opt.solver) {
case mjSOL_PGS: // PGS
mj_solPGS(m, d, m->opt.iterations);
break;
case mjSOL_CG: // CG
mj_solCG(m, d, m->opt.iterations);
break;
case mjSOL_NEWTON: // Newton
mj_solNewton(m, d, m->opt.iterations);
break;
default:
mjERROR("unknown solver type %d", m->opt.solver);
}
}
// run noslip solver if enabled
if (m->opt.noslip_iterations > 0) {
mj_solNoSlip(m, d, m->opt.noslip_iterations);
}
TM_END(mjTIMER_CONSTRAINT);
}
//-------------------------- state advancement and integration ------------------------------------
// advance state and time given activation derivatives, acceleration, and optional velocity
static void mj_advance(const mjModel* m, mjData* d,
const mjtNum* act_dot, const mjtNum* qacc, const mjtNum* qvel) {
int nu = m->nu, nsensor = m->nsensor;
// advance history buffers
if (m->nhistory > 0) {
// advance ctrl history buffers
for (int i = 0; i < nu; i++) {
int nsample = m->actuator_history[2*i];
if (nsample == 0) continue;
// get history buffer pointer and insert ctrl at current time
mjtNum* buf = d->history + m->actuator_historyadr[i];
*mju_historyInsert(buf, nsample, /*dim=*/1, d->time) = d->ctrl[i];
}
// advance sensor history buffers
for (int i = 0; i < nsensor; i++) {
int nsample = m->sensor_history[2*i];
if (nsample == 0) continue;
// get history buffer parameters
int dim = m->sensor_dim[i];
mjtNum* buf = d->history + m->sensor_historyadr[i];
mjtNum delay = m->sensor_delay[i];
mjtNum interval = m->sensor_interval[2*i];
if (interval > 0) {
// interval mode: if condition is satisfied, compute; otherwise copy
mjtNum time_prev = buf[0]; // first slot stores previous sensor tick
if (time_prev + interval <= d->time) {
buf[0] += interval; // advance by exact interval (continuous time)
mjtNum* slot = mju_historyInsert(buf, nsample, dim, d->time);
if (delay > 0) {
// have delay, compute sensor
mj_computeSensor(m, d, i, slot);
} else {
// no delay, copy from sensordata (already computed)
mju_copy(slot, d->sensordata + m->sensor_adr[i], dim);
}
}
} else if (delay > 0) {
// delay-only mode: always compute and insert
mjtNum* slot = mju_historyInsert(buf, nsample, dim, d->time);
mj_computeSensor(m, d, i, slot);
} else {
// history-only mode: copy from sensordata (already computed)
mjtNum* slot = mju_historyInsert(buf, nsample, dim, d->time);
mju_copy(slot, d->sensordata + m->sensor_adr[i], dim);
}
}
}
// advance activations
if (m->na && !mjDISABLED(mjDSBL_ACTUATION)) {
for (int i=0; i < nu; i++) {
int actadr = m->actuator_actadr[i];
int actadr_end = actadr + m->actuator_actnum[i];
for (int j=actadr; j < actadr_end; j++) {
// if disabled, set act_dot to 0
d->act[j] = mj_nextActivation(m, d, i, j, mj_actuatorDisabled(m, i) ? 0 : act_dot[j]);
}
}
}
// put islands to sleep according to velocity tolerance
if (mj_sleep(m, d)) {
// if any trees put to sleep (qvel set to 0), recompute all velocity-dependent quantities
mj_forwardSkip(m, d, mjSTAGE_POS, 0);
// update sleep indices
mj_updateSleep(m, d);
}
// advance velocities
int sleep_filter = mjENABLED(mjENBL_SLEEP) && d->ntree_awake < m->ntree;
if (sleep_filter) {
mju_addToSclInd(d->qvel, qacc, d->dof_awake_ind, m->opt.timestep, d->nv_awake);
} else {
mju_addToScl(d->qvel, qacc, m->opt.timestep, m->nv);
}
// advance positions with qvel if given, d->qvel otherwise (semi-implicit)
const int* index = sleep_filter ? d->body_awake_ind : NULL;
int nbody = sleep_filter ? d->nbody_awake : m->nbody;
mj_integratePosInd(m, d->qpos, qvel ? qvel : d->qvel, m->opt.timestep, index, nbody);
// advance time
d->time += m->opt.timestep;
// advance plugin states
if (m->nplugin) {
const int nslot = mjp_pluginCount();
for (int i = 0; i < m->nplugin; ++i) {
const int slot = m->plugin[i];
const mjpPlugin* plugin = mjp_getPluginAtSlotUnsafe(slot, nslot);
if (!plugin) {
mjERROR("invalid plugin slot: %d", slot);
}
if (plugin->advance) {
plugin->advance(m, d, i);
}
}
}
// save qacc for next step warmstart
mju_copy(d->qacc_warmstart, d->qacc, m->nv);
}
// Euler integrator, semi-implicit in velocity, possibly skipping factorisation
void mj_EulerSkip(const mjModel* m, mjData* d, int skipfactor) {
TM_START;
mj_markStack(d);
mjtNum* qfrc = mjSTACKALLOC(d, m->nv, mjtNum);
mjtNum* qacc = mjSTACKALLOC(d, m->nv, mjtNum);
// sleep filtering
int sleep_filter = mjENABLED(mjENBL_SLEEP) && d->nv_awake < m->nv;
int nv = sleep_filter ? d->nv_awake : m->nv;
const int* dof_awake_ind = sleep_filter ? d->dof_awake_ind : NULL;
// check for dof damping if disable flag is not set
int dof_damping = 0;
if (!mjDISABLED(mjDSBL_EULERDAMP) && !mjDISABLED(mjDSBL_DAMPER)) {
for (int v=0; v < nv; v++) {
int i = sleep_filter ? dof_awake_ind[v] : v;
if (m->dof_damping[i] > 0) {
dof_damping = 1;
break;
}
}
}
// no damping or disabled: explicit velocity integration
if (!dof_damping) {
if (sleep_filter) {
mju_copyInd(qacc, d->qacc, dof_awake_ind, nv);
} else {
mju_copy(qacc, d->qacc, nv);
}
}
// damping: integrate implicitly
else {
if (!skipfactor) {
// qH = M
if (sleep_filter) {
mju_copySparse(d->qH, d->M, m->M_rownnz, m->M_rowadr, dof_awake_ind, d->nv_awake);
} else {
mju_copy(d->qH, d->M, m->nC);
}
// qH += h*diag(B)
for (int v=0; v < nv; v++) {
int i = sleep_filter ? dof_awake_ind[v] : v;
d->qH[m->M_rowadr[i] + m->M_rownnz[i] - 1] += m->opt.timestep * m->dof_damping[i];
}
// factorize in-place
mj_factorI(d->qH, d->qHDiagInv, nv, m->M_rownnz, m->M_rowadr, m->M_colind, dof_awake_ind);
}
// solve
if (sleep_filter) {
mju_addInd(qfrc, d->qfrc_smooth, d->qfrc_constraint, dof_awake_ind, nv);
mju_copyInd(qacc, qfrc, dof_awake_ind, nv);
} else {
mju_add(qfrc, d->qfrc_smooth, d->qfrc_constraint, nv);
mju_copy(qacc, qfrc, nv);
}
mj_solveLD(qacc, d->qH, d->qHDiagInv, nv, 1,
m->M_rownnz, m->M_rowadr, m->M_colind, dof_awake_ind);
}
// advance state and time
mj_advance(m, d, d->act_dot, qacc, NULL);
mj_freeStack(d);
TM_END(mjTIMER_ADVANCE);
}
// Euler integrator, semi-implicit in velocity
void mj_Euler(const mjModel* m, mjData* d) {
mj_EulerSkip(m, d, 0);
}
// RK4 tableau
const mjtNum RK4_A[9] = {
0.5, 0, 0,
0, 0.5, 0,
0, 0, 1
};
const mjtNum RK4_B[4] = {
1.0/6.0, 1.0/3.0, 1.0/3.0, 1.0/6.0
};
// Runge Kutta explicit order-N integrator
// (A,B) is the tableau, C is set to row_sum(A)
void mj_RungeKutta(const mjModel* m, mjData* d, int N) {
int nv = m->nv, nq = m->nq, na = m->na;
mjtNum h = m->opt.timestep, time = d->time;
mjtNum C[9], T[9], *X[10], *F[10], *dX;
const mjtNum* A = (N == 4 ? RK4_A : 0);
const mjtNum* B = (N == 4 ? RK4_B : 0);
// check order
if (!A) {
mjERROR("supported RK orders: N=4");
}
// allocate space for intermediate solutions
mj_markStack(d);
dX = mjSTACKALLOC(d, 2*nv+na, mjtNum);
for (int i=0; i < N; i++) {
X[i] = mjSTACKALLOC(d, nq+nv+na, mjtNum);
F[i] = mjSTACKALLOC(d, nv+na, mjtNum);
}
// precompute C and T; C,T,A have size (N-1)
for (int i=1; i < N; i++) {
// C(i) = sum_j A(i,j)
C[i-1] = 0;
for (int j=0; j < i; j++) {
C[i-1] += A[(i-1)*(N-1)+j];
}
// compute T
T[i-1] = d->time + C[i-1]*h;
}
// init X[0], F[0]; mj_forward() was already called
mju_copy(X[0], d->qpos, nq);
mju_copy(X[0]+nq, d->qvel, nv);
mju_copy(F[0], d->qacc, nv);
if (na) {
mju_copy(X[0]+nq+nv, d->act, na);
mju_copy(F[0]+nv, d->act_dot, na);
}
// compute the remaining X[i], F[i]
for (int i=1; i < N; i++) {
// compute dX
mju_zero(dX, 2*nv+na);
for (int j=0; j < i; j++) {
mju_addToScl(dX, X[j]+nq, A[(i-1)*(N-1)+j], nv);
mju_addToScl(dX+nv, F[j], A[(i-1)*(N-1)+j], nv+na);
}
// compute X[i] = X[0] '+' dX
mju_copy(X[i], X[0], nq+nv+na);
mj_integratePos(m, X[i], dX, h);
mju_addToScl(X[i]+nq, dX+nv, h, nv+na);
// set X[i], T[i-1] in mjData
mju_copy(d->qpos, X[i], nq);
mju_copy(d->qvel, X[i]+nq, nv);
if (na) {
mju_copy(d->act, X[i]+nq+nv, na);
}
d->time = T[i-1];
// evaluate F[i]
mj_forwardSkip(m, d, mjSTAGE_NONE, 1); // 1: do not recompute sensors and energy
mju_copy(F[i], d->qacc, nv);
if (na) {
mju_copy(F[i]+nv, d->act_dot, na);
}
}
// compute dX for final update (using B instead of A)
mju_zero(dX, 2*nv+na);
for (int j=0; j < N; j++) {
mju_addToScl(dX, X[j]+nq, B[j], nv);
mju_addToScl(dX+nv, F[j], B[j], nv+na);
}
// reset state and time
d->time = time;
mju_copy(d->qpos, X[0], nq);
mju_copy(d->qvel, X[0]+nq, nv);
mju_copy(d->act, X[0]+nq+nv, na);
// advance state and time
mj_advance(m, d, dX+2*nv, dX+nv, dX);
mj_freeStack(d);
}
// fully implicit in velocity, possibly skipping factorization
void mj_implicitSkip(const mjModel* m, mjData* d, int skipfactor) {
TM_START;
int nD = m->nD, nC = m->nC;
mj_markStack(d);
mjtNum* qfrc = mjSTACKALLOC(d, m->nv, mjtNum);
mjtNum* qacc = mjSTACKALLOC(d, m->nv, mjtNum);
// sleep filtering
int sleep_filter = mjENABLED(mjENBL_SLEEP) && d->nv_awake < m->nv;
int nv = sleep_filter ? d->nv_awake : m->nv;
const int* dof_awake_ind = sleep_filter ? d->dof_awake_ind : NULL;
// set qfrc = qfrc_smooth + qfrc_constraint
if (sleep_filter) {
mju_addInd(qfrc, d->qfrc_smooth, d->qfrc_constraint, dof_awake_ind, nv);
} else {
mju_add(qfrc, d->qfrc_smooth, d->qfrc_constraint, nv);
}
// check for flex_interp
int has_flex_interp = 0;
for (int f = 0; f < m->nflex; f++) {
if (m->flex_interp[f]) {
has_flex_interp = 1;
break;
}
}
// flex: data structures for reduced dense factorization
mjtNum* H_flex = NULL;
int* flex_dof_indices = NULL;
int nflexdofs = 0;
int ncoupling = 0;
mjtNum* coupling_val = NULL;
int* coupling_row = NULL;
int* coupling_col = NULL;
// factorization
if (!skipfactor) {
// implicit
if (m->opt.integrator == mjINT_IMPLICIT) {
// compute analytical derivative qDeriv
mjd_smooth_vel(m, d, /* flg_bias = */ 1);
// gather qLU <- M (lower to full)
mju_gatherMasked(d->qLU, d->M, m->mapM2D, nD);
// set qLU = M - dt*qDeriv
mju_addToScl(d->qLU, d->qDeriv, -m->opt.timestep, nD);
}
// implicitfast
else if (m->opt.integrator == mjINT_IMPLICITFAST) {
// compute analytical derivative qDeriv; skip rne derivative
mjd_smooth_vel(m, d, /* flg_bias = */ 0);
// modified mass matrix: gather qH <- qDeriv (full to lower)
mju_gather(d->qH, d->qDeriv, m->mapD2M, nC);
// set qH = M - dt*qDeriv
mju_addScl(d->qH, d->M, d->qH, -m->opt.timestep, nC);
} else {
mjERROR("integrator must be implicit or implicitfast");
}
// flex: reduced dense factorization
if (has_flex_interp && !sleep_filter) {
// temporary allocations for body chain
int* chain_dofs = mjSTACKALLOC(d, nv, int);
int* seen_dof = mjSTACKALLOC(d, nv, int);
mju_fillInt(seen_dof, 0, nv);
// identify flex DOFs
// For pinned nodes (body_dofnum==0): use bodyChain to include parent DOFs
// For regular flex nodes: use body_dofadr for one-way coupling
for (int f=0; f < m->nflex; f++) {
if (m->flex_interp[f]) {
int nodenum = m->flex_nodenum[f];
int nodeadr = m->flex_nodeadr[f];
for (int n=0; n < nodenum; n++) {
int b = m->flex_nodebodyid[nodeadr + n];
int chain_nnz;
if (m->body_dofnum[b] == 0) {
// Pinned node: use bodyChain to get parent DOFs
chain_nnz = mj_bodyChain(m, b, chain_dofs);
} else {
// Regular flex node: use body's own DOFs only
chain_nnz = m->body_dofnum[b];
for (int j = 0; j < chain_nnz; j++) {
chain_dofs[j] = m->body_dofadr[b] + j;
}
}
for (int i=0; i < chain_nnz; i++) {
int dof = chain_dofs[i];
if (!seen_dof[dof]) {
seen_dof[dof] = 1;
nflexdofs++;
}
}
}
}
}
// allocations
if (nflexdofs > 0) {
flex_dof_indices = mjSTACKALLOC(d, nflexdofs, int);
int* global2local = mjSTACKALLOC(d, nv, int);
mju_fillInt(global2local, -1, nv);
// collect unique DOFs in order
int cnt = 0;
mju_fillInt(seen_dof, 0, nv);
for (int f=0; f < m->nflex; f++) {
if (m->flex_interp[f]) {
int nodenum = m->flex_nodenum[f];
int nodeadr = m->flex_nodeadr[f];
for (int n=0; n < nodenum; n++) {
int b = m->flex_nodebodyid[nodeadr + n];
int chain_nnz;
if (m->body_dofnum[b] == 0) {
// Pinned node: use bodyChain to get parent DOFs
chain_nnz = mj_bodyChain(m, b, chain_dofs);
} else {
// Regular flex node: use body's own DOFs only
chain_nnz = m->body_dofnum[b];
for (int j = 0; j < chain_nnz; j++) {
chain_dofs[j] = m->body_dofadr[b] + j;
}
}
for (int i=0; i < chain_nnz; i++) {
int dof = chain_dofs[i];
if (!seen_dof[dof]) {
seen_dof[dof] = 1;
flex_dof_indices[cnt] = dof;
global2local[dof] = cnt;
cnt++;
}
}
}
}
}
const int* rownnz = (m->opt.integrator == mjINT_IMPLICIT) ? m->D_rownnz : m->M_rownnz;
const int* rowadr = (m->opt.integrator == mjINT_IMPLICIT) ? m->D_rowadr : m->M_rowadr;
const int* colind = (m->opt.integrator == mjINT_IMPLICIT) ? m->D_colind : m->M_colind;
const mjtNum* source = (m->opt.integrator == mjINT_IMPLICIT) ? d->qLU : d->qH;
// count coupling terms (off-diagonal: flex row, non-flex col)
for (int i=0; i < nflexdofs; i++) {
int row = flex_dof_indices[i];
int start = rowadr[row];
int end = start + rownnz[row];
for (int k=start; k < end; k++) {
if (global2local[colind[k]] < 0) {
ncoupling++;
}
}
}
// allocate coupling storage
if (ncoupling > 0) {
coupling_val = mjSTACKALLOC(d, ncoupling, mjtNum);
coupling_row = mjSTACKALLOC(d, ncoupling, int);
coupling_col = mjSTACKALLOC(d, ncoupling, int);
}
// build H_flex (dense) from qLU (implicit) or qH (implicitfast)
H_flex = mjSTACKALLOC(d, nflexdofs*nflexdofs, mjtNum);
mju_zero(H_flex, nflexdofs*nflexdofs);
int coup_cnt = 0;
for (int i=0; i < nflexdofs; i++) {
int row = flex_dof_indices[i];
int start = rowadr[row];
int end = start + rownnz[row];
for (int k=start; k < end; k++) {
int col = colind[k];
int local_j = global2local[col];
if (local_j >= 0) {
H_flex[i*nflexdofs + local_j] = source[k];
} else if (coup_cnt < ncoupling) {
coupling_val[coup_cnt] = source[k];
coupling_row[coup_cnt] = i; // local flex index
coupling_col[coup_cnt] = col; // global parent index
coup_cnt++;
}
}
}
// add stiffness to H_flex
mjtNum h = m->opt.timestep;
mjd_flexInterp_addH(m, d, H_flex, flex_dof_indices, nflexdofs, h);
// factor H_flex
mju_cholFactor(H_flex, nflexdofs, mjMINVAL);
}
}
// standard factorization (implicit / implicitfast)
if (m->opt.integrator == mjINT_IMPLICIT) {
int* scratch = mjSTACKALLOC(d, nv, int);
mju_factorLUSparse(d->qLU, nv, scratch, m->D_rownnz, m->D_rowadr, m->D_colind, dof_awake_ind);
} else {
mj_factorI(d->qH, d->qHDiagInv, nv, m->M_rownnz, m->M_rowadr, m->M_colind, dof_awake_ind);
}
}
// solve
// standard sparse solve
if (m->opt.integrator == mjINT_IMPLICIT) {
mju_solveLUSparse(qacc, d->qLU, qfrc, nv, m->D_rownnz, m->D_rowadr, m->D_diag, m->D_colind,
dof_awake_ind);
} else {
// implicitfast
if (sleep_filter) {
mju_copyInd(qacc, qfrc, dof_awake_ind, nv);
} else {
mju_copy(qacc, qfrc, nv);
}
mj_solveLD(qacc, d->qH, d->qHDiagInv, nv, 1, m->M_rownnz, m->M_rowadr, m->M_colind, dof_awake_ind);
}
// flex: reduced dense solve
if (H_flex) {
// compute qfrc_flex
mjtNum* qfrc_flex = mjSTACKALLOC(d, nflexdofs, mjtNum);
mjtNum* res = mjSTACKALLOC(d, nv, mjtNum);
mjtNum h = m->opt.timestep;
mjtNum damp = (m->nflex > 0 && m->flex_damping) ? m->flex_damping[0] : 0;
mjtNum scl = h * h + h * damp;
mjtNum factor = (scl > mjMINVAL) ? (h/scl) : 0;
// velocity correction: -h * K * v
mju_zero(res, nv);
mjd_flexInterp_mulKD(m, d, res, d->qvel, h); // returns -scl * K * v
for (int i=0; i < nflexdofs; i++) {
int global_dof = flex_dof_indices[i];
qfrc_flex[i] = qfrc[global_dof] + res[global_dof] * factor;
}
// apply coupling correction: qfrc_flex -= H_coupling * qacc_parent
if (ncoupling > 0) {
for (int k=0; k < ncoupling; k++) {
qfrc_flex[coupling_row[k]] -= coupling_val[k] * qacc[coupling_col[k]];
}
}
// solve H_flex * qacc_flex = qfrc_flex
// reuse qfrc_flex as result buffer (qacc_flex)
mju_cholSolve(qfrc_flex, H_flex, qfrc_flex, nflexdofs);
// overwrite flex DOFs with reduced dense solution
mju_scatter(qacc, qfrc_flex, flex_dof_indices, nflexdofs);
}
// advance state and time
mj_advance(m, d, d->act_dot, qacc, NULL);
mj_freeStack(d);
TM_END(mjTIMER_ADVANCE);
}
// fully implicit in velocity
void mj_implicit(const mjModel* m, mjData* d) {
mj_implicitSkip(m, d, 0);
}
//-------------------------- top-level API ---------------------------------------------------------
// forward dynamics with skip; skipstage is mjtStage
void mj_forwardSkip(const mjModel* m, mjData* d, int skipstage, int skipsensor) {
TM_START;
// position-dependent
if (skipstage < mjSTAGE_POS) {
mj_fwdPosition(m, d);
if (!skipsensor) {
mj_sensorPos(m, d);
}
if (!d->flg_energypos) {
if (mjENABLED(mjENBL_ENERGY)) {
mj_energyPos(m, d);
} else {
d->energy[0] = d->energy[1] = 0;
}
}
}
// velocity-dependent
if (skipstage < mjSTAGE_VEL) {
mj_fwdVelocity(m, d);
if (!skipsensor) {
mj_sensorVel(m, d);
}
if (mjENABLED(mjENBL_ENERGY) && !d->flg_energyvel) {
mj_energyVel(m, d);
}
}
// acceleration-dependent
if (mjcb_control && !mjDISABLED(mjDSBL_ACTUATION)) {
mjcb_control(m, d);
}
mj_fwdActuation(m, d);
mj_fwdAcceleration(m, d);
mj_fwdConstraint(m, d);
if (!skipsensor) {
d->flg_rnepost = 0; // clear flag for lazy evaluation
mj_sensorAcc(m, d);
}
TM_END(mjTIMER_FORWARD);
}
// forward dynamics
void mj_forward(const mjModel* m, mjData* d) {
mj_forwardSkip(m, d, mjSTAGE_NONE, 0);
}
// advance simulation using control callback
void mj_step(const mjModel* m, mjData* d) {
TM_START;
// common to all integrators
mj_checkPos(m, d);
mj_checkVel(m, d);
mj_forward(m, d);
mj_checkAcc(m, d);
// compare forward and inverse solutions if enabled
if (mjENABLED(mjENBL_FWDINV)) {
mj_compareFwdInv(m, d);
}
// use selected integrator
switch ((mjtIntegrator) m->opt.integrator) {
case mjINT_EULER:
mj_Euler(m, d);
break;
case mjINT_RK4:
mj_RungeKutta(m, d, 4);
break;
case mjINT_IMPLICIT:
case mjINT_IMPLICITFAST:
mj_implicit(m, d);
break;
default:
mjERROR("invalid integrator");
}
TM_END(mjTIMER_STEP);
}
// advance simulation in two phases: before input is set by user
void mj_step1(const mjModel* m, mjData* d) {
TM_START;
mj_checkPos(m, d);
mj_checkVel(m, d);
mj_fwdPosition(m, d);
mj_sensorPos(m, d);
if (!d->flg_energypos) {
if (mjENABLED(mjENBL_ENERGY)) {
mj_energyPos(m, d);
} else {
d->energy[0] = d->energy[1] = 0;
}
}
mj_fwdVelocity(m, d);
mj_sensorVel(m, d);
if (mjENABLED(mjENBL_ENERGY) && !d->flg_energyvel) {
mj_energyVel(m, d);
}
if (mjcb_control) {
mjcb_control(m, d);
}
TM_END(mjTIMER_STEP);
}
// >>>> user can modify ctrl and q/xfrc_applied between step1 and step2 <<<<
// advance simulation in two phases: after input is set by user
void mj_step2(const mjModel* m, mjData* d) {
TM_START;
mj_fwdActuation(m, d);
mj_fwdAcceleration(m, d);
mj_fwdConstraint(m, d);
mj_sensorAcc(m, d);
mj_checkAcc(m, d);
// compare forward and inverse solutions if enabled
if (mjENABLED(mjENBL_FWDINV)) {
mj_compareFwdInv(m, d);
}
// integrate with Euler or implicit; RK4 defaults to Euler
if (m->opt.integrator == mjINT_IMPLICIT || m->opt.integrator == mjINT_IMPLICITFAST) {
mj_implicit(m, d);
} else {
mj_Euler(m, d);
}
d->timer[mjTIMER_STEP].number--;
TM_END(mjTIMER_STEP);
}