Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research
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Updated
Aug 26, 2026 - Python
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research
GPU-optimized version of the MuJoCo physics simulator, designed for NVIDIA hardware.
Train a Unitree G1 humanoid to perform a double spin kick using mjlab
One policy. Any motion. Train universal whole-body tracking in mjlab—swap clips, not checkpoints.
Integrating a custom robot (ANYmal C) with mjlab's velocity task
mjlab reinforcement learning for the BDX-R robot
Implementation of Model Tensor Planning in JAX, TMLR 2025 & ICLR 2026.
VinRobotics RL training pipeline for high-loaded humanoids.
Predictive Style Matching (PSM), is method in which an offline predictor maps the robot’s lower-body state history and velocity commands to interpretable upper-body joint and gait targets that shape the rewards during training.
GPU-batched differential IK on MuJoCo Warp with a Mink-compatible API
🤖 Teach the Unitree G1 humanoid to perform a double spin kick using mjlab, with training data, pretrained models, and deployment instructions.
Train an RL agent to catch a descending rocket with mechanical chopstick arms, Mechazilla style.
Talk to a Unitree G1 humanoid inside live GPU physics: NVIDIA Newton + MuJoCo Warp, RL locomotion trained in Isaac Lab, natural-language commands in English, Spanish and Japanese.
Compare MuJoCo, Warp, Blender, ovrtx, and Mitsuba on one deterministic Franka FR3 scene
Two humanoid robots wrestle to push each other out of a ring. MuJoCo + MuJoCo Warp, TorchRL PPO, self-play.
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