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

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新疆大学创新实验室仿生足式实验室RL运动控制

训练环境准备

克隆仓库

git clone --recursive https://github.com/XjuHurricaneQuadVision/HIMLoco

使用Docker构建训练环境

进入HIMLoco根目录下,执行如下命令:

sudo chmod +x docker/build.sh
./docker/build.sh

如果没有构建过容器,执行该脚本会自动构建容器,如果构建过,会自动进入容器。 如果想删除本地镜像以及容器,执行如下命令:

./docker/build.sh -c

本地安装训练环境

以下README正在维护..........

Installation

  1. Install Isaac Gym:
  1. Clone this repository.
  • git clone https://github.com/OpenRobotLab/HIMLoco.git
  • cd HIMLoco
  1. Install HIMLoco.
  • cd rsl_rl && pip install -e .
  • cd ../legged_gym && pip install -e .

Note: Please use legged_gym and rsl_rl provided in this repo, we have modefications on these repos.

Tutorial

  1. Train a policy:
  • cd legged_gym/legged_gym/scripts
  • python train.py
  1. Play and export the latest policy:
  • cd legged_gym/legged_gym/scripts
  • python play.py

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

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