isaac-sim / IsaacLab
Unified framework for robot learning with multi-physics/renderer support
isaac-sim / IsaacLab
YanjieZe / awesome-humanoid-robot-learning
A Paper List for Humanoid Robot Learning.
Lifelong-Robot-Learning / LIBERO
Benchmarking Knowledge Transfer in Lifelong Robot Learning
robocasa / robocasa
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
simpler-env / SimplerEnv
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)
sou350121 / VLA-Handbook
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
RealXiaoze / humanoid-motion-intelligence
人形机器人运动智能论文、开源项目、产业与求职知识库
vikashplus / robohive
A unified framework for robot learning
Hebbian-Robotics / hflow
SDK for robotics teams to verify the quality of their data used for AI model training.
Phyzicalorg / Phyzical_org
Browser teleoperation data for embodied AI — elizaOS-ready episodes, trajectory_db converter, onchain provenance. The fuel station for agent robot stacks.
zju3dv / INTACT-JEPA
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models.
zqc3117 / Spotter
Official codebase for Spotter: Let the Embodied Model Lead, and the VLM Reflect for It
black-forest-labs / flux-action
FLUX 3 Action: open weights 7B world action model from Black Forest Labs. Train, fine-tune and run action prediction for robots (DROID, SO-101), simulators and games.
AetherLabsAI / Video2World
Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos - Rethinking Embodied Real2Sim from a Software Engineering Perspective
nssmd / RoboRSI
Robot-agent harness with a CLI and local Web console for LIBERO short evaluation
ABC12345anouys / EvoBot
Agent + reusable skill library for LIBERO manipulation tasks (no RL / VLA / world model; no LLM calls at runtime)
groundingpi / GroundingPI
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.
JethroJames / awesome-robots-icl
Companion repository for “In-Context Learning for Robots: Methods and Applications” — methods, datasets, and benchmarks organized by taxonomy and release date.
harooos / awesome-coding-agents-for-robot-learning
A curated research map of coding agents for robot learning
mll-lab-nu / embodied-first-exam
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.
OpenBMB / SimpleMemVLA
Native-video memory for vision-language-action models, using timestamped visual history and exact streaming inference for long-horizon robot manipulation.
DexForce / UNITAS
Official codebase for Unitas: A 3D-Native World Action Model for Embodied Manipulation
fendouai / awesome-embodied-ai
2,000 curated embodied AI and robotics resources with bilingual metadata and transparent ranking
Vottivott / microduck-playground
Reproducible Microduck RL experiments, policies, simulation assets, and hardware add-ons
lok-i / vibe
Post-training humanoid whole-body trackers for perceptive control tasks
3587jjh / HuRo
HuRo: Robotizing Human Videos for Scalable VLA Pretraining (CoRL 2026)
GehaoZhang6 / Grounded-Action-Model
Grounded Action Model: 3D Grounding as a Foundation for Robotics
ToberJ / reflex
Reflex: Visually Grounded Reactive Humanoid Control (code coming soon)
TUM-AVS / survey-physics-embedded-robot-learning
This repository collects our survey paper on embedding physics priors in robot learning
YanjieZe / SR-Paper-List
Robot learning papers in Science Robotics (2024–2026), with verified cover papers and a searchable directory
Oliverbansk / Awesome-Test-Time-Robot-Learning
A curated list and taxonomy of test-time robot learning: RL post-training, policy steering, test-time adaptation and training, test-time scaling, in-context learning, and policy self-improvement.