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Online and Onboard Evolution of Robotic Behavior Using Finite State Machines


Online and Onboard Evolution of Robotic Behavior Using Finite State Machines



Published: 2009 Mai

Buchtitel: Proceedings Of The 8th International Conference On Autonomous Agents And Multiagent Systems (Aamas 2009)
Seiten: to appear

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.


Verknüpfte Tools

Organic Computing Learning Robots Arena



Forschungsgebiet

Organic Computing, Agentensysteme, Evolutionäre Robotik