MuJoco Simulation on Web Assembly with Neural netwroks
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Updated
Aug 22, 2026 - Python
MuJoco Simulation on Web Assembly with Neural netwroks
Identify and simulate extended friction models for servo-actuators
Train a Unitree G1 humanoid to perform a double spin kick using mjlab
An open-source unsupervised RL framework for humanoid control with FB/TeCH training, robot-aware motion import, and real-world teleoperation.
One policy. Any motion. Train universal whole-body tracking in mjlab—swap clips, not checkpoints.
AI coding skill kit for IsaacLab migration and mjlab-native development
Integrating a custom robot (ANYmal C) with mjlab's velocity task
mjlab reinforcement learning for the BDX-R robot
MuGS: MuJoCo Gaussian Splatting
Dexhand manipulation tasks build upon mjlab
Extension of RSL-RL for using Morphological Symmetries in IsaacLab
Lightweight, GPU-accelerated reinforcement learning for Isaac Lab, mjlab, and Gymnasium.
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.
Extension of RSL-RL for using Mixture-of-Experts in IsaacLab
The project template for Embodied AI (CS2810 Sp26) at ShanghaiTech
🤖 Teach the Unitree G1 humanoid to perform a double spin kick using mjlab, with training data, pretrained models, and deployment instructions.
RL training of SO-ARM100 in MuJoCo via mjlab
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