Stars
A powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & other integrations)
本仓库包含对 Claude Code v1.0.33 进行逆向工程的完整研究和分析资料。包括对混淆源代码的深度技术分析、系统架构文档，以及重构 Claude Code agent 系统的实现蓝图。主要发现包括实时 Steering 机制、多 Agent 架构、智能上下文管理和工具执行管道。该项目为理解现代 AI agent 系统设计和实现提供技术参考。
A simple localization framework that can re-localize in built maps based on FAST-LIO.
Official Reporsitory of "RoboEngine: Plug-and-Play Robot Data Augmentation with Semantic Robot Segmentation and Background Generation"
Unfied World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets
Running VLA at 30Hz frame rate and 480Hz trajectory frequency
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
A Comprehensive Survey on World Models for Embodied AI
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
[NeurIPS 2025] Flow x RL. "ReinFlow: Fine-tuning Flow Policy with Online Reinforcement Learning". Support VLAs e.g., pi0, pi0.5. Fully open-sourced.
Suite of motion imitation methods for training motion controllers.
[arXiv 2025] GMR: General Motion Retargeting. Retarget human motions into diverse humanoid robots in real time on CPU. Retargeter for TWIST.
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A comprehensive list of papers about Robot Manipulation, including papers, codes, and related websites.
[Lumina Embodied AI] 具身智能技术指南 Embodied-AI-Guide
Unifying IsaacLab and Whole-Body Control in One Modular Framework
Let's move Flexiv! Position and torque control at 1KHz with a Python controller, DDS, and a C++ robot server
XLeRobot: Practical Dual-Arm Mobile Home Robot for $660
It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.
A curated list of state-of-the-art research in embodied AI, focusing on vision-language-action (VLA) models, vision-language navigation (VLN), and related multimodal learning approaches.
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.