Fuzzy-based aggregation with a mobile robot swarm

  • Authors:
  • Farshad Arvin;Ali Emre Turgut;Shigang Yue

  • Affiliations:
  • School of Computer Science, University of Lincoln, UK;IRIDIA, Université Libre de Bruxelles, Belgium;School of Computer Science, University of Lincoln, UK

  • Venue:
  • ANTS'12 Proceedings of the 8th international conference on Swarm Intelligence
  • Year:
  • 2012

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Abstract

Aggregation is a widely observed phenomenon in social insects and animals such as cockroaches, honeybees and birds. From swarm robotics perspective [3], aggregation can be defined as gathering randomly distributed robots to form an aggregate. Honeybee aggregation is an example of cue-based aggregation method that was studied in [4]. In that study, micro robots were deployed in a gradually lighted environment to mimic the behavior of honeybees which aggregate around a zone that has the optimal temperature (BEECLUST). In our previous study [2], two modifications on BEECLUST --- dynamic velocity and comparative waiting time --- were applied to increase the performance of aggregation.