A comparative study of energy replenishment strategies for robot swarms

Miyauchi, G. orcid.org/0000-0002-3349-6765, Talamali, M.S. and Gross, R. (2024) A comparative study of energy replenishment strategies for robot swarms. In: Hamann, H., Dorigo, M., Cáceres, L.P., Reina, A., Kuckling, J, Kaiser, T.K., Soorati, M., Hasselmann, K. and Buss, E., (eds.) Swarm Intelligence: 14th International Conference, ANTS 2024, Konstanz, Germany, October 9–11, 2024, Proceedings. International Conference on Swarm Intelligence (ANTS 2024), 09-11 Oct 2024, Konstanz, Germany. Lecture Notes in Computer Science, LNCS 14987 . Springer , pp. 3-15. ISBN 9783031709319

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Hamann, H.
  • Dorigo, M.
  • Cáceres, L.P.
  • Reina, A.
  • Kuckling, J
  • Kaiser, T.K.
  • Soorati, M.
  • Hasselmann, K.
  • Buss, E.
Copyright, Publisher and Additional Information:

© 2024 The Authors. Except as otherwise noted, this author-accepted version of a paper published in Swarm Intelligence: 14th International Conference, ANTS 2024, Konstanz, Germany, October 9–11, 2024, Proceedings 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/

Dates:
  • Published: 15 September 2024
  • Published (online): 15 September 2024
  • Accepted: 29 May 2024
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
UK RESEARCH AND INNOVATION
10048272 101093046
Depositing User: Symplectic Sheffield
Date Deposited: 16 Jul 2024 10:24
Last Modified: 16 Sep 2024 16:15
Status: Published
Publisher: Springer
Series Name: Lecture Notes in Computer Science
Refereed: Yes
Identification Number: 10.1007/978-3-031-70932-6_1
Related URLs:
Open Archives Initiative ID (OAI ID):

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