Marker density of optical tactile sensor for moving object tracking

Gandhi, B. orcid.org/0000-0002-0275-9868 and Dogramadzi, S. orcid.org/0000-0002-0009-7522 (2026) Marker density of optical tactile sensor for moving object tracking. In: Cavalcanti, A., Foster, S. and Richardson, R., (eds.) Towards Autonomous Robotic Systems. Lecture Notes in Computer Science, 16045. Springer Nature Switzerland, pp. 54-67. ISBN: 9783032014856. ISSN: 0302-9743. EISSN: 1611-3349.

Abstract

Metadata

Item Type: Book Section
Authors/Creators:
Editors:
  • Cavalcanti, A.
  • Foster, S.
  • Richardson, R.
Copyright, Publisher and Additional Information:

© 2025 The Authors. Except as otherwise noted, this author-accepted version of a paper published in is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Keywords: Motion capture; Tactile sensing; Head tracking; Spatial density
Dates:
  • Published (online): 13 August 2025
  • Published: 13 August 2026
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
The University of Sheffield > Faculty of Engineering (Sheffield) > School of Electrical and Electronic Engineering
Funding Information:
Funder
Grant number
Engineering and Physical Sciences Research Council
EP/S019367/1
Engineering and Physical Sciences Research Council
EP/R00661X/1
Engineering and Physical Sciences Research Council
2607213
Date Deposited: 02 Oct 2025 07:57
Last Modified: 02 Oct 2025 07:57
Status: Published
Publisher: Springer Nature Switzerland
Series Name: Lecture Notes in Computer Science
Refereed: Yes
Identification Number: 10.1007/978-3-032-01486-3_6
Open Archives Initiative ID (OAI ID):

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