A modular high-level library to train embodied AI agents across a variety of tasks and environments.

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

BFM_Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning

Deep Reinforcement Learning for Robotic Grasping from Octrees

Python SDK for LuckyEngine robotics simulation

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

Train a Unitree G1 humanoid to perform a double spin kick using mjlab

Codebase for Kinova Gen3 training in Isaac Lab, sim2real transfer and ROS deployment.

Using Catalyst.RL to train a robot to perform peg-in-hole insertion in simulation.

Suite of PyBullet reinforcement learning environments targeted towards using tactile data as the main form of observation.

An end-to-end, GPU-accelerated, and modular platform for building generalized Embodied Intelligence.

AwesomeSim2Real - An update-to-date Sim-to-Real repo of "Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models"

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.

UR10 Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim

DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation, CoRL 2022

Code and website for "MolmoB0T: Large-Scale Simulation Enables Zero-Shot Manipulation".

Computational Endoscopy Platform (advanced deep learning toolset for analyzing endoscopy videos) [MICCAI'25, MICCAI'22, MICCAI'21, ISBI'21, CVPR'20]

A collection of tasks built on mjlab

reinforcement learning from randomized simulations

IsaacLab to Mujoco GO2 deploy, IsaacLab to Real world GO2 deploy