A low-cost, high-performance, soft tri-axis tactile sensor based on eddy-current effect

Wang, H, Kow, J orcid.org/0000-0002-0496-2966, de Boer, G orcid.org/0000-0002-5647-1771 et al. (3 more authors) (2017) A low-cost, high-performance, soft tri-axis tactile sensor based on eddy-current effect. In: 2017 IEEE SENSORS Proceedings. IEEE SENSORS 2017, 29 Oct - 01 Nov 2017, Glasgow, UK. IEEE , pp. 666-668. ISBN 978-1-5386-4056-2

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2017 IEEE. This is an author produced version of a paper published in the 2017 IEEE SENSORS Proceedings. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Tactile sensors, eddy-current effect, inductance, flexible coils, elastomer
Dates:
  • Accepted: 14 August 2017
  • Published (online): 25 December 2017
  • Published: 25 December 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Systems and Design (iESD) (Leeds)
The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Functional Surfaces (Leeds)
The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Thermofluids, Surfaces & Interfaces (iETSI) (Leeds)
Funding Information:
FunderGrant number
Leverhulme TrustRPG-2014-381
Depositing User: Symplectic Publications
Date Deposited: 25 Apr 2018 10:54
Last Modified: 11 Feb 2019 12:46
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/ICSENS.2017.8234098

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