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<tex>$\Phi$</tex> Clust: Pheromone-Based Aggregation for Robotic Swarms

Farshad Arvin, Ali Emre Turgut, Tomáš Krajník, S. Rahimi, İlkin Ege Okay, Shigang Yue, Simon Watson, Barry Lennox

发表年份
2018
引用次数
32

摘要

In this paper, we proposed a pheromone-based aggregation method based on the state-of-the-art BEECLUST algorithm. We investigated the impact of pheromone-based communication on the efficiency of robotic swarms to locate and aggregate at areas with a given cue. In particular, we evaluated the impact of the pheromone evaporation and diffusion on the time required for the swarm to aggregate. In a series of simulated and real-world evaluation trials, we demonstrated that augmenting the BEECLUST method with artificial pheromone resulted in faster aggregation times.

关键词

PheromoneAggregate (composite)Computer scienceSwarm behaviourState (computer science)ThroughputChemistryArtificial intelligenceAlgorithmBiology

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