Abstract
In this paper, the latest developments from research carried out by the Portsmouth/Leeds group on odour source localisation using multiple robots are presented. Previous studies have demonstrated the capability of individual robots to find an odour source using three biologically inspired navigational strategies, namely chemotaxis, biased random walk (BRW) and combined chemo-BRW strategy. This work has been extended to multi-robot searching scenarios and it has been shown that co-operation leads to improvements in search efficiency and robustness of the search strategies. The present paper investigates and discusses the effect of team size on the search performance of a multi-agent system in a searching task. The results show that interactions between robots during a search affect the performance significantly and can be quantified, even though the performance of multi-robot searches clearly improves compared to single robot searches.
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© 2006 Springer-Verlag Berlin Heidelberg
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Lytridis, C., Virk, G.S., Kadar, E.E. (2006). Search Performance of a Multi-robot Team in Odour Source Localisation. In: Tokhi, M.O., Virk, G.S., Hossain, M.A. (eds) Climbing and Walking Robots. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26415-9_97
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DOI: https://doi.org/10.1007/3-540-26415-9_97
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