WMP

<h1>WMP</h1>

Code for the paper:

World Model-based Perception for Visual Legged Locomotion

Hang Lai, Jiahang Cao, JiaFeng Xu, Hongtao Wu, Yunfeng Lin, Tao Kong, Yong Yu, Weinan Zhang

🌐 Project Website | 📄 Paper

Requirements

1. Create a new python virtual env with python 3.6, 3.7 or 3.8 (3.8 recommended)
2. Install pytorch:
   • pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
3. Install Isaac Gym
   • Download and install Isaac Gym Preview 3 (Preview 2 will not work!) from https://developer.nvidia.com/isaac-gym
   • cd isaacgym/python && pip install -e .
4. Install other packages:
   • sudo apt-get install build-essential --fix-missing
   • sudo apt-get install ninja-build
   • pip install setuptools==59.5.0
   • pip install ruamel_yaml==0.17.4
   • sudo apt install libgl1-mesa-glx -y
   • pip install opencv-contrib-python
   • pip install -r requirements.txt

Training

python legged_gym/scripts/train.py --task=a1_amp --headless --sim_device=cuda:0

Training takes about 23G GPU memory, and at least 10k iterations recommended.

Visualization

Please make sure you have trained the WMP before

python legged_gym/scripts/play.py --task=a1_amp --sim_device=cuda:0 --terrain=climb

Acknowledgments

We thank the authors of the following projects for making their code open source:

• leggedgym
• dreamerv3-torch
• AMP_for_hardware
• parkour
• extreme-parkour

Citation

If you find this project helpful, please consider citing our paper:

@article{lai2024world,
  title={World Model-based Perception for Visual Legged Locomotion},
  author={Lai, Hang and Cao, Jiahang and Xu, Jiafeng and Wu, Hongtao and Lin, Yunfeng and Kong, Tao and Yu, Yong and Zhang, Weinan},
  journal={arXiv preprint arXiv:2409.16784},
  year={2024}
}