Abstract
This paper presents a control strategy for multi-robot search and surveillance. Each robot develops and maintains its own territory in searching the space. Territories are defined by a pheremone-marking system based on ant colony optimization [1].
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References
Dorigo, M., G. Di Caro, et al. (1999). “Ant algorithms for discrete optimization.” Artificial Life 5(2): 137–72
Balch, T. 2000 TeamBots 2.0. http://www.teambots.org.
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© 2002 Springer-Verlag Berlin Heidelberg
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Richer, T.J., Corbett, D.R. (2002). A Self-Organizing Territorial Approach to Multi-robot Search and Surveillance. In: McKay, B., Slaney, J. (eds) AI 2002: Advances in Artificial Intelligence. AI 2002. Lecture Notes in Computer Science(), vol 2557. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36187-1_72
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DOI: https://doi.org/10.1007/3-540-36187-1_72
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Print ISBN: 978-3-540-00197-3
Online ISBN: 978-3-540-36187-9
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