An evolutionary approach to formation control with mobile robots

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Abstract

The field of swarm robotics studies multi-robot systems, emphasising decentralised and self-organising behaviours that deal with limited individual abilities, local sensing and local communication. A robotic system needs to be flexible to environmental changes, robust to failure and scalable to large groups. These desired features can be achieved through collective behaviours such as aggregation, synchronisation, coordination and exploration. We aim to analyse these emerging behaviours by applying an evolutionary approach to a specific robotic system, called the Kilobot, in order to learn behaviours. If successful, not only would the cost and computation time for evolutionary computation in mobile robotics decrease, but the reality-gap could also narrow.

Original languageEnglish
Title of host publicationECTA 2016 - 8th International Conference on Evolutionary Computation Theory and Applications
EditorsJuan Julian Merelo, Fernando Melicio, Jose M. Cadenas, Antonio Dourado, Kurosh Madani, Antonio Ruano, Joaquim Filipe
PublisherSCITEPRESS
Pages225-230
Number of pages6
ISBN (Electronic)9789897582011
DOIs
Publication statusPublished - 2016
Event8th International Joint Conference on Computational Intelligence, IJCCI 2016 - Porto, Portugal
Duration: 9 Nov 201611 Nov 2016

Publication series

NameIJCCI 2016 - Proceedings of the 8th International Joint Conference on Computational Intelligence
Volume1

Conference

Conference8th International Joint Conference on Computational Intelligence, IJCCI 2016
Country/TerritoryPortugal
CityPorto
Period9/11/1611/11/16

Keywords

  • Collective behaviours
  • Evolutionary robotics
  • Kilobots
  • Self-organisation
  • Swarm robotics

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