Online and onboard evolution of robotic behavior using finite state machines

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Online and onboard evolution of robotic behavior using finite state machines

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International Conference on Autonomous Agents archive
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 table of contents

Budapest, Hungary

SESSION: Social/organizational aspects table of contents

Pages 1325-1326

Year of Publication: 2009

ISBN:978-0-9817381-7-8

Authors

Lukas König	Karlsruhe Institute of Technology, Karlsruhe, Germany
Sanaz Mostaghim	Karlsruhe Institute of Technology, Karlsruhe, Germany
Hartmut Schmeck	Karlsruhe Institute of Technology, Karlsruhe, Germany

Sponsors

: The Foundation for Intelligent Physical Agents
Microsoft Research : Microsoft Research
: Whitestein Technologies
: European Office of Aerospace Research and Development, Air Force Office of Scientific Research, United States Air Force Research Laboratory
: Drexel University
: Wiley -- Blackwell Ltd

Publisher

International Foundation for Autonomous Agents and Multiagent Systems Richland, SC

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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.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Eric Bonabeau , Marco Dorigo , Guy Theraulaz, From Natural to Artificial Swarm Intelligence, Oxford University Press, 1999
	2	D. Floreano, P. Husbands, and S. Nolfi. Evolutionary Robotics in Springer Handbook of Robotics. Springer.
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