Jump to content

Connect SuperML | Leeroopedia MCP: Equip your AI agents with best practices, code verification, and debugging knowledge. Powered by Leeroo — building Organizational Superintelligence. Contact us at founders@leeroo.com.

Implementation:Google deepmind Mujoco MJWarp Util Misc

From Leeroopedia
Knowledge Sources
Domains Physics_Simulation, GPU_Computing, NVIDIA_Warp
Last Updated 2026-02-15 04:00 GMT

Overview

MJWarp Util Misc provides miscellaneous utility functions including Halton sequences, tendon wrapping geometry, muscle dynamics, and point-in-geom testing.

Description

This module collects miscellaneous GPU-compatible utility functions used by various MJWarp subsystems. It includes the Halton quasi-random sequence generator (used for SDF sampling), 2D line segment intersection testing, circle arc length computation, tendon wrapping around cylinders and spheres (wrap, wrap_circle, wrap_inside), muscle gain/bias/dynamics functions for musculotendon actuators, a sigmoid function for smooth muscle activation dynamics, and a point-in-geometry test (inside_geom) for all standard geometry types.

Usage

Called by multiple subsystems: the Halton function is used in SDF collision sampling and benchmarking, wrapping functions are used by the tendon system, muscle functions support musculotendon actuator computation, and inside_geom is used by sensor evaluation.

Code Reference

Source Location

Key Functions

# Quasi-random sampling
def halton(index: int, base: int) -> float

# 2D geometry
def is_intersect(p1, p2, p3, p4) -> bool

# Tendon wrapping
def length_circle(p0, p1, ind, radius) -> float
def wrap_circle(end, side, radius) -> Tuple[float, wp.vec2, wp.vec2]
def wrap_inside(...)
def wrap(...)

# Muscle model
def muscle_gain_length(length, lmin, lmax) -> float
def muscle_gain(len, vel, lengthrange, acc0, prm) -> float
def muscle_bias(len, lengthrange, acc0, prm) -> float
def muscle_dynamics(control, activation, prm) -> float
def muscle_dynamics_timescale(dctrl, tau_act, tau_deact, smooth_width) -> float

# Point-in-geometry test
def inside_geom(pos, mat, size, geomtype, point) -> bool

Import

from mujoco.mjx.third_party.mujoco_warp._src.util_misc import halton
from mujoco.mjx.third_party.mujoco_warp._src.util_misc import wrap
from mujoco.mjx.third_party.mujoco_warp._src.util_misc import muscle_gain
from mujoco.mjx.third_party.mujoco_warp._src.util_misc import inside_geom

I/O Contract

Inputs

Name Type Required Description
index int No Sequence index for Halton generator
base int No Base for Halton sequence (prime number)
pos wp.vec3 No Geometry position for inside_geom test
mat wp.mat33 No Geometry rotation for inside_geom test
size wp.vec3 No Geometry size for inside_geom test
geomtype int No Geometry type for inside_geom test
point wp.vec3 No Query point for inside_geom test

Outputs

Name Type Description
result float/bool Halton value, muscle force, or containment boolean

Related Pages

Page Connections

Double-click a node to navigate. Hold to expand connections.
Principle
Implementation
Heuristic
Environment