This work investigates a coordination model based on a two-dimensional cellular automata applied to a team of surveillance robots. The synergy among the robots emerges from the indirect communication performed by repulsive pheromone interactions. Five strategies are evaluated for the decision-making related to the next-cell selection: three stochastic (pure, elitist and inertial), one random and one deterministic. The performance of the team performing surveillance are evaluated in respect to two aspects: the number of task cycles (visiting all the rooms) completed in a fixed interval of time and the homogeneity of the environment coverage. Experimental results corroborate the importance of the cooperative pheromone and shows that the decision-making strategies have different inherent skills that can be explored for distinct situations.
CITATION STYLE
Tinoco, C. R., & Oliveira, G. M. B. (2018). Pheromone Interactions in a Cellular Automata-Based Model for Surveillance Robots. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11115 LNCS, pp. 154–165). Springer Verlag. https://doi.org/10.1007/978-3-319-99813-8_14
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