https://github.com/markfzp/deep-whole-body-control

[CoRL 2022] Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion
https://github.com/markfzp/deep-whole-body-control

deep-learning locomotion pytorch reinforcement-learning robotics

Last synced: about 2 months ago
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[CoRL 2022] Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion

• Host: GitHub
• URL: https://github.com/markfzp/deep-whole-body-control
• Owner: MarkFzp
• Created: 2022-10-27T23:43:41.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-01-17T08:57:19.000Z (about 1 year ago)
• Last Synced: 2024-12-07T01:08:11.971Z (2 months ago)
• Topics: deep-learning, locomotion, pytorch, reinforcement-learning, robotics
• Language: Python
• Homepage:
• Size: 51.7 MB
• Stars: 157
• Watchers: 15
• Forks: 23
• Open Issues: 4
• Metadata Files:
  • Readme: README.md

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README

        
# Deep Whole Body Control [CoRL 2022]

This repository contains a reference PyTorch implementation of the paper:

Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion 


[Zipeng Fu*](https://zipengfu.github.io/),

[Xuxin Cheng*](https://chengxuxin.github.io/),

[Deepak Pathak](https://www.cs.cmu.edu/~dpathak/) 


Conference on Robot Learning (CoRL), 2022 


[[Website](https://manipulation-locomotion.github.io/)], [[Paper](https://arxiv.org/abs/2210.10044)]

## Reference (BibTex)

```

@inproceedings{fu2022deep,

  author    = {Fu, Zipeng and Cheng, Xuxin and Pathak, Deepak},

  title     = {Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion},

  booktitle = {Conference on Robot Learning ({CoRL})},

  year      = {2022},

}

```