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| − | |Abstract=In this paper, a control system representation based on finite state | + | |Abstract=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. |
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Version vom 24. September 2009, 15:37 Uhr
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: 1325-1326
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
Forschungsgruppe
Forschungsgebiet
Organic Computing, Agentensysteme, Evolutionäre Robotik