🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

Code for BAKU: An Efficient Transformer for Multi-Task Policy Learning

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

Learn fundamental knowledge in robotics

CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making

[RSS 2024] Learning Manipulation by Predicting Interaction

RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots

A generalized policy for robotics manipulation

LAVIS - A One-stop Library for Language-Vision Intelligence

🤗 LeRobot: End-to-end Learning for Real-World Robotics in Pytorch

Build your own second brain with supermemory. It's a ChatGPT for your bookmarks. Import tweets or save websites and content using the chrome extension.

Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy

An Open-source Toolkit for LLM Development

RTAB-Map's ROS package.

Tactics2D: A Reinforcement Learning Environment Library with Generative Scenarios for Driving Decision-making

Robot physics simulation and RL platform based on Unity / 基于Unity的机器人物理仿真和RL平台

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

Robot kinematics implemented in pytorch

GPT based autonomous agent that does online comprehensive research on any given topic

Learning Latent Dynamics for Planning from Pixels

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

The Code for Paper “Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks with Sparse Rewards”

Experimental Logitech force feedback module for Linux

MetaDrive: Open-source driving simulator

This file contains code used for a full end-to-end framework for Autonomous Vehicle's lane change using Hierarchical Reinforcement Learning under Noisy Observations

Python sample codes for robotics algorithms.