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Online and Onboard Evolution of Robotic Behavior Using Finite State Machines




Published: 2009 Mai
Herausgeber: Decker, Sichman, Sierra and Castelfranchi
Buchtitel: Proceedings of the 8th International Conference on Autonomous Agents And Multiagent Systems (AAMAS 2009)
Seiten: 1325-1326
Verlag: ACM
Erscheinungsort: Budapest, Hungary
Organisation: International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Referierte Veröffentlichung
BibTeX


Kurzfassung
In this paper, a control system representation based on finite state machines is utilized to build an evolutionary robotic framework where evolution is performed in a swarm of simple robots in an online and onboard manner. Experiments in simulation show that the framework is capable of robustly evolving basic benchmark behaviors like collision avoidance.

DOI Link: 10.1145/1558109.1558275

Verknüpfte Tools

Organic Computing Learning Robots Arena


Forschungsgruppe

Effiziente Algorithmen


Forschungsgebiet
Evolutionäre Robotik, Agenten Systeme, Organic Computing


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