Improbable-AI / walk-these-ways

Code for Rapid Locomotion via Reinforcement Learning

A python library for robot learning - An extension to PyRobot

NMPC, WBC, state estimation, and sim2real framework for legged robots based on OCS2 and ros-controls

Isaac Gym Reinforcement Learning Environments

Isaac Gym Environments for Legged Robots

四足机器人强化学习实物部署（Sim to Real）

Simulation verification and physical deployment of robot reinforcement learning algorithms, suitable for quadruped robots, wheeled robots, and humanoid robots. "sar" represents "simulation and real"

Code for training locomotion policies with RL

Open-Sora： 完全开源的高效复现类Sora视频生成方案

Deploy walk-these-ways project on Unitree Go2

#计算机科学#Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695

Reinforcement Learning Environments for Omniverse Isaac Gym

大模型Grok-1开源

[ICRA 2024]: Train your parkour robot in less than 20 hours.

宇树科技 Yushu Technology (Unitree) go1 development notes

SDK tools for control robots.

Learning-based locomotion control from OpenRobotLab, including Hybrid Internal Model & H-Infinity Locomotion Control

ViNL: Visual Navigation and Locomotion over Obstacles (ICRA 2023)

Motion imitation with deep reinforcement learning.