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|Title=Online and Onboard Evolution of Robotic Behavior Using Finite State Machines
 
|Title=Online and Onboard Evolution of Robotic Behavior Using Finite State Machines
 
|Year=2009
 
|Year=2009
 
|Month=Mai
 
|Month=Mai
|Booktitle=Proceedings Of The 8th International Conference On Autonomous Agents And Multiagent Systems (Aamas 2009)
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|Booktitle=Proceedings of the 8th International Conference on Autonomous Agents And Multiagent Systems (AAMAS 2009)
|Pages=to appear
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|Pages=1325-1326
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|Organization=International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
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|Publisher=ACM
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|Address=Budapest, Hungary
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|Editor=Decker, Sichman, Sierra and Castelfranchi
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|Abstract=In this paper, a control system representation based on finite state
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|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.
machines is utilized to build an evolutionary robotic framework
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|DOI Name=10.1145/1558109.1558275
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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|Forschungsgebiet=Agenten Systeme
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|Forschungsgebiet=Evolutionäre Robotik
 
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{{Forschungsgebiet Auswahl
 
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|Forschungsgebiet=Agenten Systeme
 
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{{Forschungsgebiet Auswahl
|Forschungsgebiet=Artificial Life
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Aktuelle Version vom 15. Juli 2015, 13:54 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
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

Organic Computing, Agentensysteme, Evolutionäre Robotik