Unitree_h1_humanoid-gym（Unitree H1 Robot Walking Application）
An implement of unitree_h1 robot with humanoid-gym, this repository contains an application for controlling the Unitree H1 robot using the Humanoid-Gym environment. The goal of this project is to implement walking capabilities for the Unitree H1 robot, utilizing reinforcement learning techniques to enhance its mobility and stability.
Overview
The Unitree H1 is a versatile quadruped robot designed for various applications, including research, development, and education. By integrating with the Humanoid-Gym framework, we aim to create a robust walking algorithm that allows the robot to navigate complex terrains and perform dynamic movements.
Features
- Reinforcement Learning: Utilizes reinforcement learning algorithms for training the robot.
- Simulation Environment: Integrated with Humanoid-Gym for realistic simulation and testing. More informention for Humanoid-Gym https://github.com/roboterax/humanoid-gym.
- Real-time Control: Implements real-time control strategies for smooth and stable walking.
- Video Demonstration: See the walking capabilities in action!
Video Demonstration
walking demonstration of the Unitree H1 robot.
Installation & Usage
Ref: https://github.com/roboterax/humanoid-gym --task=unitreeh1_ppo