Authors:
Jane Holland
;
Josephine Griffith
and
Colm O'Riordan
Affiliation:
National University of Ireland, Ireland
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.