人形机器人运动智能论文、开源项目、产业与求职知识库
HEX is a whole-body vision-language-action framework for full-sized humanoid robots.
Curated embodied AI list: surveys, VLA models, datasets, simulators, humanoids, robot learning, and safety resources.
An autonomy stack for the Unitree G1 humanoid, built on ROS 2.
Raspberry pi based humanoid robot.
Predictive Style Matching (PSM), is method in which an offline predictor maps the robot’s lower-body state history and velocity commands to interpretable upper-body joint and gait targets that shape the rewards during training.
Low Level RL Controller for G1
This repository contains the python version of the source code for the experiments carried out for the On-line Object Detection and Instance Segmentation project.
Complete Physical AI & Humanoid Robotics textbook with 87 interactive lessons, AI chatbot, ROS 2, NVIDIA Isaac Sim, and hands-on projects. Built with Docusaurus.
Surrogate OS, The professional identity engine that synthesizes complete AI experts from a role input — and deploys them across chat, voice, avatar, and humanoid interfaces.
ESP-32 based robotic arm utilizing LucidGloves for device control.
Open-source 12-chapter textbook on Physical AI & Humanoid Robotics — ROS 2, Gazebo, Unity, NVIDIA Isaac, VLA models.
Autonomous path planning system for the NAO humanoid robot using the A* algorithm, grid-based world modelling, Manhattan heuristics, obstacle avoidance and real-robot execution for ball-retrieval tasks. Includes simulation in Webots/RViz and real NAO execution.
General Motion Retargeting on the GPU!
Velocity tracking and sim-to-sim transfer for Unitree H1 humanoid locomotion using reinforcement learning.
Invariant is an open-source, cryptographic command-validation firewall that sits between AI models and actuators to provide provable, deterministic safety profiles and append-only signed audit logs for physical systems like robotics and biosynthesis lines.
Test code for LAC: MuJoCo sim2sim stack and trained policy checkpoint on the Unitree G1
Physical AI & Humanoid Robotics Book is an open-source, beginner-friendly guide that breaks down the fundamentals of robotics, AI-driven control systems, and humanoid simulations.
A multimodal foundation model for humanoid robotics that integrates multiple input modalities—text, speech, vision (images and videos), and outputs both actions and speech simultaneously like a transformer.
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