Dense Tactile Force Estimation using GelSlim and inverse FEM
Daolin Ma, Elliott Donlon, Siyuan Dong, Alberto Rodriguez
Abstract
In this paper, we present a new version of tactile sensor GelSlim 2.0 with the capability to estimate the contact force distribution in real time. The sensor is vision-based and uses an array of markers to track deformations on a gel pad due to contact. A new hardware design makes the sensor more rugged, parametrically adjusTable AND Improves illumination. leveraging the sensor's increased functionality, we propose to use inverse finite element method (ifem), a numerical method to reconstruct the contact force distribution based on marker displacements. the sensor is able to provide force distribution of contact with high spatial density. experiments and comparison with ground truth show that the reconstructed force distribution is physically reasonable with good accuracy.A sequence of Kendama manipulations with corresponding displacement field (yellow) and force field (red). Video can be found on Youtube: https://youtu.be/hWw9A0ZBZuU.
BibTeX
@inproceedings{icra2019_densetactileforc,
title = {Dense Tactile Force Estimation using GelSlim and inverse FEM},
author = {Daolin Ma and Elliott Donlon and Siyuan Dong and Alberto Rodriguez},
booktitle = {ICRA 2019},
year = {2019}
}