Extension of RSL-RL for using Morphological Symmetries in IsaacLab
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Updated
Oct 9, 2026 - Python
Extension of RSL-RL for using Morphological Symmetries in IsaacLab
Open-hardware point-foot biped (6-DOF, no ankles) trained with PPO in Isaac Lab / RSL-RL, plus a full sim2real research log. It stands and catch-steps on real hardware.
RL training pipeline for LimX TRON2A humanoid — Isaac Lab + PPO (rsl_rl), Sole-Foot & Wheel-Foot variants.
Extension of RSL-RL for using Mixture-of-Experts in IsaacLab
Isaac Lab RL project for a two-wheel balancing robot with equivalent leg mapping and wheel-ground contact debugging
Quadruped RL training: A1 with legged_gym (standing + velocity tracking) and custom robot integration with mjlab (12-DOF)
Whole-body RL locomotion for the Unitree G1 (23-DoF): speed-adaptive gait clock with a true flight phase, omnidirectional push and sustained-drag recovery, trained from scratch in MuJoCo Warp.
A full-stack Embodied AI simulation suite powered by Genesis World: featuring OpenVLA closed-loop evaluation, procedural scene generation, massively parallel GPU RL (Unitree Go2), and multi-physics coupling (PBD/SPH).
Unitree Go2 walking on sand and snow: two-way coupled MPM terrain in NVIDIA Warp / Newton, with a fast Warp terrain model for PPO fine-tuning.
Isaac Lab RL training triage agent: Nemotron 3 Super ranks failure mechanisms and picks approval-gated probes, a registered correction retrains the policy, and a fixed behavior evaluation judges recovery. Nemotron 3.5 Super VL adds policy-video observations. NeMo Agent Toolkit + OpenShell; Go2, ANYmal-C. Korea Agentic AI Hackathon 2026, Team Mollet
Reproducible Isaac Lab quadruped locomotion project with robustness evaluation, policy export contracts, and ROS 2 hardware-interface.
Official OneRobotics A1 integration for mjlab — MJCF model, reach task, RSL-RL training, and validation.
Deep Reinforcement Learning (PPO) for 31-DoF Humanoid Bipedal Locomotion and In-Place Jumping using NVIDIA Isaac Sim 4.0, IsaacLab, and RSL-RL.
The collection of rsl_rl compatible envs for the Aegis station.
GPU-parallel RL training workspace for NVIDIA Isaac Lab: ANYmal locomotion + Franka reach with RSL-RL PPO, scripts, and 8GB-VRAM defaults.
一台 10 自由度双足人形下肢 —— 从零到走起来。训练→部署→上机的完整流程、契约与实测记录。
COM-guided Dropbear humanoid locomotion in NVIDIA Isaac Lab with RSL-RL PPO, live viewer, robot USD, and validated checkpoints
NVIDIA Isaac Lab / Isaac Sim task for Unitree G1 humanoid RL: whole-body motion tracking, hierarchical AMP locomotion (skrl), and waypoint racing. Race PPO (10 Hz) commands a frozen AMP actor over a frozen tracker (50 Hz). Train with RSL-RL; EnvHub-reproducible race eval. Nepher Robotics.
Sim2Sim RL for humanoid-robot: train locomotion policies with PPO (RSL-RL) in NVIDIA Isaac Sim / Isaac Lab, export them to ONNX, and validate the same policy in MuJoCo via an observation, joint-mapping and PD-control adapter. Demonstrated on the Unitree G1 29-DoF humanoid.
Learning Framework for Contact-Rich-Manipulation Project
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