Dense Tactile Force Estimation using GelSlim and inverse FEM

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 ru...

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Bibliographic Details
Main Authors: Ma, Daolin (Author), Donlon, Elliott S (Author), Dong, Siyuan (Author), Rodriguez Garcia, Alberto (Author)
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2021-04-14T14:43:18Z.
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Online Access:Get fulltext
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100 1 0 |a Ma, Daolin  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Mechanical Engineering  |e contributor 
700 1 0 |a Donlon, Elliott S  |e author 
700 1 0 |a Dong, Siyuan  |e author 
700 1 0 |a Rodriguez Garcia, Alberto  |e author 
245 0 0 |a Dense Tactile Force Estimation using GelSlim and inverse FEM 
260 |b Institute of Electrical and Electronics Engineers (IEEE),   |c 2021-04-14T14:43:18Z. 
856 |z Get fulltext  |u https://hdl.handle.net/1721.1/130473 
520 |a 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. 
546 |a en 
655 7 |a Article 
773 |t 2019 International Conference on Robotics and Automation