Bio-inspired multi-agent model and optimization strategy for collaborative aerial transport

Huang, K., Chen, J., Oyekan, J. et al. (1 more author) (2021) Bio-inspired multi-agent model and optimization strategy for collaborative aerial transport. In: Deng, Z., (ed.) Proceedings of 2021 Chinese Intelligent Automation Conference. Chinese Intelligent Automation Conference (CIAC'21), 10-12 May 2021, Virtual Conference (Zhanjiang, China). Lecture Notes in Electrical Engineering, 801 . Springer , pp. 591-598. ISBN 9789811663710

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
  • Huang, K.
  • Chen, J.
  • Oyekan, J.
  • Zhang, X.
Editors:
  • Deng, Z.
Copyright, Publisher and Additional Information:

© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022. This is an author-produced version of a paper subsequently published in Deng Z. (eds) Proceedings of 2021 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 801. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: cooperative transport; swarm intelligence; swarm robotics; multi-agent system; optimal control
Dates:
  • Published: 8 October 2021
  • Published (online): 8 October 2021
  • Accepted: 17 May 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 09 Aug 2021 11:10
Last Modified: 08 Oct 2022 00:15
Status: Published
Publisher: Springer
Series Name: Lecture Notes in Electrical Engineering
Refereed: Yes
Identification Number: 10.1007/978-981-16-6372-7_64
Open Archives Initiative ID (OAI ID):

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