Merge pull request facebookresearch#2 from robertocalandra/patch-1

Update README.md

Author: AlphaBetaPhi

README.md

@@ -6,6 +6,9 @@
     </a>
     <a href="#">
         <img src="https://img.shields.io/badge/License-MIT-green.svg" alt="License: MIT" />
+    </a>
+        <a href="https://pypi.org/project/digit-interface/">
+        <img src="https://img.shields.io/pypi/v/pytouch" alt="PyPi" />
     </a>
     <a href="#">
         <img src="https://img.shields.io/badge/code%20style-black-000000.svg" alt="Code Style: Black" />
@@ -16,34 +19,42 @@
     <i>PyTouch is a machine learning library for tactile touch sensing.</i>
 </p>
 <p align="center">
-    <i>Check the <a href="xyz">website</a> for more information.</i>
+    <i>Check the <a href="https://arxiv.org/abs/2105.12791">corresponding paper</a> for more information.</i>
+</p>
+<p align="center">
+    <b>For updates and discussions please join the #PYTOUCH channel at the <a href="www.touch-sensing.org">www.touch-sensing.org</a> community.</b>
 </p>
 
-### Releases
+## Releases
 
-#### Stable
+### Stable
 
 **PyTouch 0.4.0** is a beta version of PyTouch.
 - [Documentation](https://xyz/docs/intro)
 - Installation : `pip install pytouch --upgrade`
 
-### License
+## 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](https://github.com/facebookresearch/tacto)
-* [DIGIT](https://digit.ml)
+* [TACTO Touch Simulator](https://github.com/facebookresearch/tacto)
+* [DIGIT Hardware Sensor](https://digit.ml)
 
 
-### Citing PyTouch
-If you use PyTouch in your research please use the following BibTeX entry:
+## 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
+We would like to thank Haozhou Wang for kindly providing the PyPi repository PyTouch.
+