Scaling in Games: Continued Pre-Training for Embodied Agents in Diverse Virtual Worlds. Weights on Hugging Face.
A unified framework for building, evaluating, and recursively improving embodied agents. 🚀 Code release coming soon.
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.
Teaching materials for a future Foundation of Embodied AI course, with Chinese and English tutorials on robot dynamics, Isaac Sim, Isaac Lab, MuJoCo, robot learning, ROS 2, camera calibration, PPO, SAC, Flow Matching, GR00T, and SONIC.
An embodied neural experiment connecting a simulated ant to a synthetic neural controller
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
[Lumina具身智能社区] 具身智能技术指南 Embodied-AI-Guide
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
A curated research map of Recursive Self-Improvement (RSI): models, agents, harnesses, embodied systems, automated AI R&D, benchmarks, and safety.
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
Companion repository for “In-Context Learning for Robots: Methods and Applications” — methods, datasets, and benchmarks organized by taxonomy and release date.
RPent: Agentic Infrastructure for the Physical World
Survey on Multimodal Embodied Agents: Computer-Use → Robot-Use
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.
Radix Embodied Stack: Universal infrastructure for VLA model quantization, inference, and deployment on domestic chips . Cross-model, cross-chip, cross-platform.
ScaleNav: Scalable Internet Video Pretraining for Language-Conditioned Local Navigation
人形机器人运动智能论文、开源项目、产业与求职知识库
Your real-life buddy duck: an open-source embodied AI robot duck that walks, hears, sees, and has a life of its own. 让 DuckBuddy 成为你真正的生活伙伴鸭:开源具身智能小鸭机器人,运动、语音、视觉与生命层全部跑在机器人自己身上。Feetech servos + Orange Pi Zero 3W, built on Pollen Robotics' Microduck (unofficial).
A high-performance framework for training LLMs, VLMs, diffusion, and embodied models on NVIDIA GPUs and Kunlun XPUs. Supports Pi0.5, GR00T-N1.7, FastWAM, Cosmos3, DreamZero, DeepSeek-V4, GLM-5.3, Kimi-K3 and more.
2,000 curated embodied AI and robotics resources with bilingual metadata and transparent ranking
Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos - Rethinking Embodied Real2Sim from a Software Engineering Perspective
Numen is an embodied agent that runs inside Minecraft. It lives in the game as a mod, continually explores the Minecraft world, makes its own decisions, and takes action to get tasks done.
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
RawVLA: Embodied Neural Image Signal Processor For Robotic Manipulation
Simulation platform for general-purpose robotics & embodied AI learning.
Long Video Gen / World Model / World Action Model (Embodied) Infrastructure
GPT-6 Astra for embodied AI and robotics.
A catgirl who lives with you in real time — reaching out first, sharing your media, and actually getting things done, powered by an embodied emotional engine.🐱❤️一只会主动找你玩的 AI 猫娘。
Official codebase for Unitas: A 3D-Native World Action Model for Embodied Manipulation
[ICML 2026] RoboTwin 2.0 Offical Code Repo
Always-on 2D lidar SLAM with named places, as a spatial memory for LLM agents
Open source evals for physical AI. Run any LLM/VLA on any arm/humanoid against any real/sim benchmark.
🌐 Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future
preview of PhysicalRSI infra an engine
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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.
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。
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.
simulation-ready chemistry lab instruments: part-level geometry, joints, executable behaviour models and machine-readable contracts
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
Zetta is an efficient closed-loop embodied harness for self-evolving physical intelligence. It evolves code-based runtime critics and recovery skills online while keeping the base policy frozen. Project Page: https://air-embodied-brain.github.io/zetta/
Just a VLM Agent Can Play Robots
A robotic harness that gives LLM agents a visual-geometric control panel so that they can directly understand and invoke embodied tasks.
Robot-agent harness with a CLI and local Web console for LIBERO short evaluation
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)
An all-in-one VLA engineering platform for embodied AI — from data to real-robot deployment.
EmbodiedJev: MuJoCo robot decision workbench with MiniCPM5-2B, Jev and compatible model APIs
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.
An embodied task agent that connects perception, action, verification, and learning in a continuous physical-world loop
Physical AI skills for coding agents, with field-tested robotics guidance, the robium-ai CLI, and a learning engine.
News: We add many jev+robot in infrastructure. A curated collection of papers and resources on robot-use agents, tool-based robot control, embodied agent runtimes, and self-evolving robotic systems.
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.
Being-H is BeingBeyond's family of human-centric embodied foundation models.
SimpleNav: A simple, unified, reproducible, and extensible framework for navigation VLA research.
Native-video memory for vision-language-action models, using timestamped visual history and exact streaming inference for long-horizon robot manipulation.
RL Token pipeline for the SO-101 arm: π0.5 fine-tuning, RL Token training, critical-phase classifier, online RL and deployment.
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
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)
🔥 Orbia: Do Generated Videos Form a Consistent 3D World?