Jones, D, Kow, JW orcid.org/0000-0002-0496-2966, Alazmani, A orcid.org/0000-0001-8983-173X et al. (1 more author) (2018) Computational Design Tools for Soft Inductive Tactile Sensors. In: Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics. IEEE International Conference on Biomedical Robotics and Biomechatronics – Biorob2018, 26-29 Aug 2018, Enschede, Netherlands. IEEE , pp. 871-876. ISBN 9781538681831
Abstract
Soft tactile sensors are a key enabling technology for next generation robotic systems and it is imperative to develop appropriate design tools to inform their design, integration and optimisation. The use of computational models can help speed this process and minimise the need for timely emperical design methods. Here we present the use of computational multi-physics modelling as a design tool for Soft Inductive Tactile Sensors (SITS) which use variation in electromagnetically-induced eddy-current effects as a transducer mechanism. We develop and experimentally validate 2D models which extend existing understanding to provide insight into the configuration of sensing elements for measurement of multi-axis forces and rejection of unwanted environmental disturbances. We analyse the limitations of this approach and discuss opportunities for future improvements to advance this burgeoning area.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | ©2018 IEEE. This is an author produced version of a paper published in 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob). 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: | Inductance , Computational modeling , Tactile sensors , Geometry , Design tools |
Dates: |
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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) |
Depositing User: | Symplectic Publications |
Date Deposited: | 08 Jan 2019 15:14 |
Last Modified: | 09 Jan 2019 06:15 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/BIOROB.2018.8487666 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:140725 |