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Evolving Collision Avoidance on Autonomous Robots


Evolving Collision Avoidance on Autonomous Robots



Published: 2008 September

Buchtitel: Biologically Inspired Collaborative Computing
Ausgabe: 268/2008
Reihe: IFIP International Federation for Information Processing
Seiten: 85-94
Verlag: Springer Boston

Referierte Veröffentlichung

BibTeX

Kurzfassung
Utilizing the collective behavior of a population of interacting individuals, based on rather simple local algorithms, is a promising approach for achieving complex goals. We use an onboard online evolutionary model, based on finite Moore automata, to develop collective behavior in an artificial swarm of micro-robots. Experiments have been made in simulation to achieve Collision Avoidance. The model is shown to be capable to generate the desired behavior and we present experiments for adjusting the parameters of the evolutionary optimization.

ISBN: 978-0-387-09654-4
ISSN: 1571-5736
Download: Media:2008_1853_König_Evolving Collis_1.pdf
Weitere Informationen unter: Link

Verknüpfte Tools

Organic Computing Learning Robots Arena



Forschungsgebiet

Evolutionäre Algorithmen, Organic Computing, Agentensysteme, Evolutionäre Robotik