Multi robot cooperative area coverage, case study: spraying

JANANI, Ali-Reza, ALBOUL, Lyuba and PENDERS, Jacques (2016). Multi robot cooperative area coverage, case study: spraying. In: ALBOUL, Lyuba, DAMIAN, Dana and AITKEN, Jonathan M., (eds.) Towards autonomous robotic systems : 17th annual conference, TAROS 2016, Sheffield, UK, June 26-July 1, 2016, Proceedings. Lecture notes in Computer Science (2716). Springer, 165-176.

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Official URL: http://link.springer.com/chapter/10.1007%2F978-3-3...
Link to published version:: https://doi.org/10.1007/978-3-319-40379-3_17
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Abstract

Area coverage is a well-known problem in multi robotic systems, and it is a typical requirement in various real-world applications. A common and popular approach in the robotic community is to use explicit forms of communication for task allocation and coordination. These approaches are susceptible to the loss of communication signal, and costly with high computational complexity. There are very few approaches which are focused on implicit forms of communication. In these approaches, robots rely only on their local information for task allocation and coordination. In this paper, a cooperative strategy is proposed by which a team of robots perform spraying a large field. The focus of this paper is to achieve task allocation and coordination using only the robots' local information. Keywords: Multi Robotic System, Cooperative Behaviour, Coopera- tive Area Coverage

Item Type: Book Section
Additional Information: Published in series : Lecture Notes in Artificial Intelligence ; volume 9716. Subseries of Lecture Notes in Computer Science (ISSN: 0302-9743). Paper first presented at TAROS 2016, Sheffield, 28th-30th June 2016
Research Institute, Centre or Group - Does NOT include content added after October 2018: Materials and Engineering Research Institute > Modelling Research Centre > Microsystems and Machine Vision Laboratory
Identification Number: https://doi.org/10.1007/978-3-319-40379-3_17
Page Range: 165-176
Depositing User: Jacques Penders
Date Deposited: 03 Aug 2016 11:19
Last Modified: 18 Mar 2021 06:47
URI: https://shura.shu.ac.uk/id/eprint/13028

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