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Authors: Jane Holland ; Josephine Griffith and Colm O'Riordan

Affiliation: National University of Ireland, Ireland

ISBN: 978-989-758-201-1

Keyword(s): Evolutionary Robotics, Swarm Robotics, Self-organisation, Collective Behaviours, Kilobots.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Life ; Co-Evolution and Collective Behavior ; Computational Intelligence ; Evolutionary Computing ; Evolutionary Robotics and Intelligent Agents ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing ; Swarm/Collective Intelligence

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.

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Paper citation in several formats:
Holland, J.; Griffith, J. and O'Riordan, C. (2016). An Evolutionary Approach to Formation Control with Mobile Robots.In Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 3: ECTA, (IJCCI 2016) ISBN 978-989-758-201-1, pages 225-230. DOI: 10.5220/0006068602250230

@conference{ecta16,
author={Jane Holland. and Josephine Griffith. and Colm O'Riordan.},
title={An Evolutionary Approach to Formation Control with Mobile Robots},
booktitle={Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 3: ECTA, (IJCCI 2016)},
year={2016},
pages={225-230},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006068602250230},
isbn={978-989-758-201-1},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 3: ECTA, (IJCCI 2016)
TI - An Evolutionary Approach to Formation Control with Mobile Robots
SN - 978-989-758-201-1
AU - Holland, J.
AU - Griffith, J.
AU - O'Riordan, C.
PY - 2016
SP - 225
EP - 230
DO - 10.5220/0006068602250230

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