GelSlim 4.0: Focusing on Touch and Reproducibility

TL;DR

GelSlim 4.0 is an open-source, vision-based tactile sensor that improves reproducibility and accessibility for robotic manipulation, featuring simplified hardware and comprehensive perception algorithms validated through extensive testing.

Contribution

This work introduces GelSlim 4.0 with a simplified design and open-source perception library, enhancing reproducibility and usability for robotic tactile sensing.

Findings

Validated reproducibility through human usability testing

Provided open-source perception algorithms for manipulation tasks

Designed for easy manufacturing and customization

Abstract

Tactile sensing provides robots with rich feedback during manipulation, enabling a host of perception and controls capabilities. Here, we present a new open-source, vision-based tactile sensor designed to promote reproducibility and accessibility across research and hobbyist communities. Building upon the GelSlim 3.0 sensor, our design features two key improvements: a simplified, modifiable finger structure and easily manufacturable lenses. To complement the hardware, we provide an open-source perception library that includes depth and shear field estimation algorithms to enable in-hand pose estimation, slip detection, and other manipulation tasks. Our sensor is accompanied by comprehensive manufacturing documentation, ensuring the design can be readily produced by users with varying levels of expertise. We validate the sensor's reproducibility through extensive human usability testing. For documentation, code, and data, please visit the project website: https://www.mmintlab.com/research/gelslim-4-0/