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The code implementation of Capturing forceful interaction with deformable objects using a deep learning-powered stretchable tactile array

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Capturing forceful interaction with deformable objects using a deep learning-powered stretchable tactile array

This repository contains the implementation of the paper:

Capturing forceful interaction with arbitrary objects using a deep learning-powered stretchable tactile array

It contains three parts

  • ViTaM_Algorithm: the training code for the ViTaM model, please refer to README of the training code for more details.
  • rfhand-serial-broker-final: VR Interface for the glove using RFUniverse, please refer to README of the VR Interface for more details.
  • Data: Additional computational source data used in the paper.

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The code implementation of Capturing forceful interaction with deformable objects using a deep learning-powered stretchable tactile array

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