MuJoCo simulation runtime and RL policy runner for H2 humanoid robot
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Updated
Jul 14, 2026 - Python
MuJoCo simulation runtime and RL policy runner for H2 humanoid robot
Deterministic C++17/Gymnasium robot-navigation simulator with PPO, native batching, MuJoCo sim-to-sim transfer, domain randomization, and Unreal integration.
RL for dexterous in-hand manipulation — 5 robot hands incl. passive/mimic joints · Isaac Lab · PPO · 100% success rate
Lite3 四足机器人强化学习训练与 MuJoCo Sim-to-Sim 部署
Fine-tuning OpenVLA on 53,294 Isaac Sim observations — contact improves, target selection degrades
Evidence-led Unitree G1 standing and locomotion research with mjlab, MuJoCo, and PPO
Isaac Lab → MuJoCo transfer pipeline with ROS2 integration · 4 modes: MuJoCo · ROS2+RViz2 · ROS2+MuJoCo · ROS2+MuJoCo+RViz2
Train a 3D-printed humanoid in Isaac Lab, score it in MuJoCo. 156 policies, 6,348 sim2sim episodes, 13 findings — four of them retractions.
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