[Lumina具身智能社区] 具身智能技术指南 Embodied-AI-Guide
The first exam for code agents in the physical world: frozen robot tasks from many benchmark suites, each answered with a program and verified in a separate sandbox. Runs on Harbor.
A 4B grounding foundation model for physical intelligence. Unifies detection, referring, pointing, OCR, GUI, and layout grounding, achieving SOTA overall across 34 benchmarks and improving robot generalization and data efficiency in controlled evaluations.
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
Simulation platform for general-purpose robotics & embodied AI learning.
仅需Python基础,从0构建自己的具身智能机器人;从0逐步构建VLA/OpenVLA/SmolVLA/Pi0, 深入理解具身智能
人形机器人运动智能论文、开源项目、产业与求职知识库
Companion repository for “In-Context Learning for Robots: Methods and Applications” — methods, datasets, and benchmarks organized by taxonomy and release date.
simulation-ready chemistry lab instruments: part-level geometry, joints, executable behaviour models and machine-readable contracts
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
A Curated List of Awesome Works in World Modeling, Aiming to Serve as a One-stop Resource for Researchers, Practitioners, and Enthusiasts Interested in World Modeling.
BEHAVIOR-1K: a platform for accelerating Embodied AI research. Join our Discord for support: https://discord.gg/bccR5vGFEx
GPT-6 Astra for embodied AI and robotics.
本项目旨在为致力于进入VLA(Vision-Language-Action)领域的算法工程师提供一份全中文、实战导向的学习/面试手册。 不同于通用的 CV/NLP 面试指南,本项目聚焦于 Robotics 特有的挑战
Open source evals for physical AI. Run any LLM/VLA on any arm/humanoid against any real/sim benchmark.
从零到一搭建一台具身智能机器人:深入强化学习、World-Model、VLA 等智能决策方法的工程落地,贯穿仿真环境、控制器、运动规划、感知系统等技能树模块,并在真实项目中跑通"决策—控制—感知"完整链路。
Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos - Rethinking Embodied Real2Sim from a Software Engineering Perspective
[ICML 2026] RoboTwin 2.0 Offical Code Repo
An Open-World Foundation Model for General-Purpose Embodied Intelligence.
This is a curated list of "Embodied AI or robot with Large Language Models" research. Watch this repository for the latest updates! 🔥
RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and more.
🌐 Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future
One CLI for all your robots. Connect them, command them, and let them work together, each with an LLM for a brain (Claude, OpenAI, Gemini, Grok, or local via Ollama or vLLM), VLAs for arms and decision LLMs (Jev, Laya, Kev). Drives Microduck, Open Duck Mini, LeRobot, XLeRobot, AlohaMini, ToddlerBot, or any ROS 2 base from a laptop, offboard.
A curated list of Embodied Recursive Self-Improvement (Embodied RSI) research, systems, benchmarks, and industry updates.
Official codebase for Spotter: Let the Embodied Model Lead, and the VLM Reflect for It
preview of PhysicalRSI infra an engine
具身智能学习手册 - 覆盖VLA模型、遥操作、Sim2Real、强化学习等完整知识体系的系统性学习指南
DORA (Dataflow-Oriented Robotic Architecture) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dataflow capabilities. Applications are modeled as directed graphs, also referred to as pipelines.
PhyAgentOS is a Recursive Self-Improving (RSI) physical agent operating system that enables agents to recursively self-improve through agentic workflows.
A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related websites.
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)
[TPAMI 2026] 3D and 4D World Modeling: A Survey
A curated list of fruit fly connectome projects: MaleCNS, FlyWire, brain simulations, embodied models, games, and research tools.
A brain that learns from live experience. System 1 by default: perception, memory, plasticity and action. Optional System 2 for self-observation and slow corrections.
A unified framework for training, fine-tuning, and evaluating World Action Models
Browser teleoperation data for embodied AI — elizaOS-ready episodes, trajectory_db converter, onchain provenance. The fuel station for agent robot stacks.
Cross-Cluster Embodied Intelligence Cloud-Native Platform. Manage cross-cluster embodied AI workloads with Kubernetes-native CRDs, unified job scheduling, cross-cluster Pod networking, and multi-runtime support.
An embodied task agent that connects perception, action, verification, and learning in a continuous physical-world loop
Robot-agent harness with a CLI and local Web console for LIBERO short evaluation
A source-backed Jev / System One knowledge map: projects, papers, evaluations, robotics, and social discovery.
Agent + reusable skill library for LIBERO manipulation tasks (no RL / VLA / world model; no LLM calls at runtime)
Turn world-model imagination into corrective training data for robot policies — a single-GPU, falsifiable pipeline (SmolVLA · LIBERO · CEM · paired simulator replays).
Code for Paper "RoboECC: Multi-Factor-Aware Edge-Cloud Collaborative Deployment for VLA Models" accepted by IJCNN 2026.
Code of paper "KERV: Kinematic-Rectified Speculative Decoding for Embodied VLA Models" accepted by DAC 2026.
Physical AI skills for coding agents, with field-tested robotics guidance, the robium-ai CLI, and a learning engine.
[CORL2026] Official implementation of the paper: "OptiGeo: Efficient Monocular Geometry for Embodied Perception in Optically Challenging Scenes"
Native-video memory for vision-language-action models, using timestamped visual history and exact streaming inference for long-horizon robot manipulation.
Learning Spatial Reasoning through Interaction with the Observable Physical World
2,000 curated embodied AI and robotics resources with bilingual metadata and transparent ranking
RL Token pipeline for the SO-101 arm: π0.5 fine-tuning, RL Token training, critical-phase classifier, online RL and deployment.
A harness for embodied intelligence — connecting agents, robot skills and the physical world through execution, feedback and recovery.
小鸭子强化学习入门:REINFORCE → A2C → PPO,一套算法换几个动作(讲义 + 可跑代码)
An open-source, hands-on mobile robotics course covering Jetson, ROS 2, AI perception, SLAM, autonomous navigation, semantic understanding, and robotic manipulation.
Always-on 2D lidar SLAM with named places, as a spatial memory for LLM agents
面向具身智能初学者的中文自学教程,基于北京大学课程与公开来源材料整理,含完整课件翻译、讲解和基础练习;用于个人学习与交流。
Robotic Harness: embodied-intelligence research tools for DeepSeek Harness - robot asset inspection, MuJoCo pick-place simulation with fault injection, evidence-based diagnostics, and reproducible experiment bundles.
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[Embodied-AI-Survey-2025] Paper List and Resource Repository for Embodied AI