Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research.

Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments

Unitree Go2, Unitree G1 support for Nvidia Isaac Lab (Isaac Gym / Isaac Sim)

Tien Kung-Lab: Direct IsaacLab Workflow for Legged Robots

Unitree Go2 simulation platform for testing navigation, decision-making and autonomous tasks. (NVIDIA Isaac/ROS2)

An independent extension based on IsaacLab. It provides support for Robot Manipulation tasks (Robot Arm and Dextrous Hand).

🔁 AMP-RSL-RL: Adversarial Motion Priors for robotic RL (PPO + motion imitation)

two wheel legged robot for IsaacLab - reinforcement learning

Isaaclab based Parkour locomotion

TrackerLab is a cutting-edge modular framework for humanoid motion retargeting, trajectory tracking, and skill-level control, built on top of IsaacLab.

beyondAMP provides a unified pipeline to integrate Adversarial Motion Priors (AMP) into any IsaacLab robot setup, with minimal modifications and full compatibility with custom robot designs.

Isaac Lab external project for SO-ARM100/101 arm robot.

Isaaclab-based grasp learning test bench

This repository provides tutorials for reinforcement learning and imitation learning using ROBOTIS robots, and supports Sim2Real functionality for deploying the learned policies on real robots.

Locomotion tasks for bipedal robots in IsaacLab

A lightweight robotics RL framework built on Genesis with IsaacLab-aligned APIs, enabling fast task development and easy migration from existing IsaacLab environments.

AI coding skill kit for IsaacLab migration and mjlab-native development

Reinforcement learning examples for Torobo based on IsaacLab

train, export, and deploy HimLoco policies in the Isaac Lab environment

RL for Walk and Stop for quadruped legged robot (AlienGo - Unitree) + Examples. PPO (SKRL), DDPG (SKRL, SB3), TD3 (SB3).

A ROS2 controller for a UR arm leveraging IsaacLab's trained policy for sim-to-real reaching tasks.

mjlab reinforcement learning for the BDX-R robot

Digital Twin for Robotics-Assisted Chemistry Lab Automation

Isaac Lab reinforcement learning for the BDX-R robot

Repository for the USD Description file of the BD-X robot from Disney

SoccerLab is a specialized extension built on the NVIDIA IsaacLab framework, designed for developing, training, and deploying advanced control strategies for legged robots in a dynamic, multi-agent soccer environment.

IsaacNPC is a lightweight NPC (Non-Player Character) framework for IsaacLab, enabling robots to act as autonomous environment entities driven by pre-trained policies or rule-based controllers.

本项目基于Isaac Lab框架，实现了ARM六自由度机械臂的强化学习训练系统，支持多种操作任务和控制方式。（集成wandb）

Isaac sim environment to train the BDX robot using RL

RobotLib is a lightweight library for centralized management of robot configurations, providing unified definitions of robot models, joint conventions, and control parameters for IsaacLab-based simulation and robot learning workflows.