Stars
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695
Clean PyTorch implementations of imitation and reward learning algorithms
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
A large-scale benchmark and learning environment.
RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation
Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.
Code accompanying the paper "Learning Agile Robotic Locomotion Skills by Imitating Animals"
Imitation learning benchmark focusing on complex locomotion tasks using MuJoCo.
Re-implementation of pi0 vision-language-action (VLA) model from Physical Intelligence
Sim-to-real RL training and deployment tools for the Unitree Go1 robot.
❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119
robomimic: A Modular Framework for Robot Learning from Demonstration
[RSS 2024] 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
Deep RL for MPC control of Quadruped Robot Locomotion
moojink / openvla-oft
Forked from openvla/openvlaFine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
A collection of robotics simulation environments for reinforcement learning
CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
Set of robotic environments based on PyBullet physics engine and gymnasium.
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning