Inproceedings1853: Unterschied zwischen den Versionen
K (Added from ontology) |
K (Added from ontology) |
||
Zeile 1: | Zeile 1: | ||
+ | {{Publikation Erster Autor | ||
+ | |ErsterAutorNachname=König | ||
+ | |ErsterAutorVorname=Lukas | ||
+ | }} | ||
{{Publikation Author | {{Publikation Author | ||
|Rank=2 | |Rank=2 | ||
|Author=Hartmut Schmeck | |Author=Hartmut Schmeck | ||
− | |||
− | |||
− | |||
− | |||
}} | }} | ||
{{Inproceedings | {{Inproceedings |
Version vom 8. September 2009, 09:46 Uhr
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
Organic Computing Learning Robots Arena
Evolutionäre Algorithmen, Organic Computing, Agentensysteme, Evolutionäre Robotik