Online and onboard evolution of robotic behavior using finite state machines

Authors:
Lukas König;Sanaz Mostaghim;Hartmut Schmeck
Affiliations:
Karlsruhe Institute of Technology, Karlsruhe, Germany;Karlsruhe Institute of Technology, Karlsruhe, Germany;Karlsruhe Institute of Technology, Karlsruhe, Germany
Venue:
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Year:
2009

Citing 3
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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.