Resistance tuning of soft strain sensor based on saline concentration and volume changes

Jones, J., Gillett, Z., Perez Guagnelli, E.R. et al. (1 more author) (2020) Resistance tuning of soft strain sensor based on saline concentration and volume changes. In: Goebel, R., Tanaka, Y., Wahlster, W. and Siekmann, J., (eds.) 2020 Towards Autonomous Robotic Systems Conference. 21st Towards Autonomous Robotic Systems Conference - TAROS 2020, 16 Sep 2020, Online conference. Lecture Notes in Artificial Intelligence, LNAI 12228 . Springer , pp. 49-52. ISBN 978-3-030-63486-5

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Goebel, R.
  • Tanaka, Y.
  • Wahlster, W.
  • Siekmann, J.
Copyright, Publisher and Additional Information:

© 2020 Springer Nature Switzerland AG. This is an author-produced version of a paper subsequently published in Towards Autonomous Robotic Systems. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Soft sensors; Ionic solution; Microfluidic channels
Dates:
  • Published: 3 December 2020
  • Accepted: 16 September 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Funding Information:
Funder
Grant number
Engineering and Physical Science Research Council
EP/S021035/1
Depositing User: Symplectic Sheffield
Date Deposited: 27 Oct 2020 11:03
Last Modified: 22 Jun 2023 15:59
Status: Published
Publisher: Springer
Series Name: Lecture Notes in Artificial Intelligence
Refereed: Yes
Identification Number: 10.1007/978-3-030-63486-5_5
Related URLs:
Open Archives Initiative ID (OAI ID):

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