ScaleNav: Scalable Internet Video Pretraining for Language-Conditioned Local Navigation
simulation-ready chemistry lab instruments: part-level geometry, joints, executable behaviour models and machine-readable contracts
Simulation platform for general-purpose robotics & embodied AI learning.
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
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 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。
PhyAgentOS is a Recursive Self-Improving (RSI) physical agent operating system that enables agents to recursively self-improve through agentic workflows.
[ICML 2026] RoboTwin 2.0 Offical Code Repo
Long Video Gen / World Model / World Action Model (Embodied) Infrastructure
An Open-World Foundation Model for General-Purpose Embodied Intelligence.
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.
BEHAVIOR-1K: a platform for accelerating Embodied AI research. Join our Discord for support: https://discord.gg/bccR5vGFEx
RPent: Agentic Infrastructure for the Physical World
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/
Being-H is BeingBeyond's family of human-centric embodied foundation models.
An all-in-one VLA engineering platform for embodied AI — from data to real-robot deployment.
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.
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。
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.
Just a VLM Agent Can Play Robots
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
EmbodiedJev: MuJoCo robot decision workbench with MiniCPM5-2B, Jev and compatible model APIs
Browser teleoperation data for embodied AI — elizaOS-ready episodes, trajectory_db converter, onchain provenance. The fuel station for agent robot stacks.
Embodied In-Context Learning for GPT-6 Astra
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 robotic harness that gives LLM agents a visual-geometric control panel so that they can directly understand and invoke embodied tasks.
A Benchmark Evaluating Triple-View Embodied World Models
An embodied task agent that connects perception, action, verification, and learning in a continuous physical-world loop
Official codebase for Spotter: Let the Embodied Model Lead, and the VLM Reflect for It
Embodied-intelligence simulation backend for multi-agent orchestration and Unreal Engine integration.
A unified framework for building, evaluating, and recursively improving embodied agents. 🚀 Code release coming soon.
Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos - Rethinking Embodied Real2Sim from a Software Engineering Perspective
Edge-cloud Multi-Agent execution framework for embodied intelligence, connecting AI agents to real devices with verifiable actuation and entropy-bounded recovery.
Robot-agent harness with a CLI and local Web console for LIBERO short evaluation
X-Planner: Event-Structured Task Planning for Embodied Intelligence
Agent + reusable skill library for LIBERO manipulation tasks (no RL / VLA / world model; no LLM calls at runtime)
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.
SimpleNav: A simple, unified, reproducible, and extensible framework for navigation VLA research.
Turn world-model imagination into corrective training data for robot policies — a single-GPU, falsifiable pipeline (SmolVLA · LIBERO · CEM · paired simulator replays).
Companion repository for “In-Context Learning for Robots: Methods and Applications” — methods, datasets, and benchmarks organized by taxonomy and release date.
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.
preview of PhysicalRSI infra an engine
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.
[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
Official codebase for Unitas: A 3D-Native World Action Model for Embodied Manipulation
2,000 curated embodied AI and robotics resources with bilingual metadata and transparent ranking
RawVLA: Embodied Neural Image Signal Processor For Robotic Manipulation
RL Token pipeline for the SO-101 arm: π0.5 fine-tuning, RL Token training, critical-phase classifier, online RL and deployment.
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A causal reasoning world model for embodied intelligence, predicting future video through explicit chain-of-thought over motion and geometry with flexible multimodal conditioning.
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)