Simulation of Vision-based Tactile Sensors using Physics based Rendering

December 24, 2020 Β· Declared Dead Β· πŸ› IEEE International Conference on Robotics and Automation

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Authors Arpit Agarwal, Tim Man, Wenzhen Yuan arXiv ID 2012.13184 Category cs.RO: Robotics Cross-listed cs.GR Citations 58 Venue IEEE International Conference on Robotics and Automation Last Checked 5 months ago
Abstract
Tactile sensing has seen a rapid adoption with the advent of vision-based tactile sensors. Vision-based tactile sensors provide high resolution, compact and inexpensive data to perform precise in-hand manipulation and human-robot interaction. However, the simulation of tactile sensors is still a challenge. In this paper, we built the first fully general optical tactile simulation system for a GelSight sensor using physics-based rendering techniques. We propose physically accurate light models and show in-depth analysis of individual components of our simulation pipeline. Our system outperforms previous simulation techniques qualitatively and quantitative on image similarity metrics. Our code and experimental data is open-sourced at https://labs.ri.cmu.edu/robotouch/tactile-optical-simulation/
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