MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Dense Tactile Force Estimation using GelSlim and inverse FEM

Author(s)
Ma, Daolin; Donlon, Elliott S; Dong, Siyuan; Rodriguez Garcia, Alberto
Thumbnail
DownloadAccepted version (4.149Mb)
Open Access Policy

Open Access Policy

Creative Commons Attribution-Noncommercial-Share Alike

Terms of use
Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/
Metadata
Show full item record
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.
Date issued
2019-08
URI
https://hdl.handle.net/1721.1/130473
Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Journal
2019 International Conference on Robotics and Automation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Ma, Daolin et al. "Dense Tactile Force Estimation using GelSlim and inverse FEM." 2019 International Conference on Robotics and Automation, May 2019, Montreal, Canada, August 2019. © 2019 IEEE
Version: Original manuscript
ISBN
9781538660270

Collections
  • MIT Open Access Articles

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.