https://github.com/facebookresearch/PyTouch

PyTouch is a machine learning library for tactile touch sensing.
https://github.com/facebookresearch/PyTouch

Last synced: 5 days ago
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PyTouch is a machine learning library for tactile touch sensing.

• Host: GitHub
• URL: https://github.com/facebookresearch/PyTouch
• Owner: facebookresearch
• License: mit
• Archived: true
• Created: 2019-11-13T16:39:35.000Z (about 5 years ago)
• Default Branch: main
• Last Pushed: 2023-07-19T02:41:54.000Z (over 1 year ago)
• Last Synced: 2024-10-02T12:46:13.417Z (about 1 month ago)
• Language: Python
• Homepage:
• Size: 3.19 MB
• Stars: 231
• Watchers: 14
• Forks: 37
• Open Issues: 20
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Authors: AUTHORS.md

Awesome Lists containing this project

• awesome-tactile-sensing - PyTouch: a machine learning library for tactile touch sensing

README

        
PyTouch




    

        

    

    

        

    

        

        

    

    

        

    





    PyTouch is a machine learning library for tactile touch sensing.





    Check the corresponding paper for more information.





    For updates and discussions please join the #PYTOUCH channel at the www.touch-sensing.org community.



## Releases

### Stable

**PyTouch 0.4.2** is a beta version of PyTouch.

- [Documentation](https://facebookresearch.github.io/PyTouch/)

- Installation : `pip install pytouch --upgrade`

## License

PyTouch is licensed under [MIT License](LICENSE).

## Community

See the following links to similar projects and to the Touch Sensing Community:

* [Touch Sensing Community](https://www.touch-sensing.org)

* [TACTO Touch Simulator](https://github.com/facebookresearch/tacto)

* [DIGIT Hardware Sensor](https://digit.ml)

## Citing PyTouch

If you use PyTouch in your research please cite the corresponding [paper](https://arxiv.org/abs/2105.12791):

```BibTeX

@Article{Lambeta2021PyTouch,

  author  = {Lambeta, Mike and Xu, Huazhe and Xu, Jingwei and Chou, Po-Wei and Wang, Shaoxiong and Darrell, Trevor and Calandra, Roberto},

  journal = {IEEE International Conference on Robotics and Automation (ICRA)},

  title   = {{PyTouch}: A Machine Learning Library for Touch Processing},

  year    = {2021},

  url     = {https://arxiv.org/abs/2105.12791},

}

```

## Acknowledgments

PyTouch would like to acknowledge the [list of contributors](AUTHORS.md).