Evolution and Analysis of a Robot Controller Based on a Gene Regulatory Network

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Abstract. This paper explores the application of an artificial developmental system (ADS) to the field of evolutionary robotics by investigating the capability of a gene regulatory network (GRN) to specify a general purpose obstacle avoidance controller both in simulation and on a real robot. Experiments are carried out using the e-puck robot platform. It is further proposed to use cross-correlation between inputs and outputs in order to assess the quality of robot controllers more accurately than with observing its behaviour alone.

Martin Trefzer, Tüze Kuyucu, Julian F. Miller

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Gene Regulatory Network | General Purpose Obstacle | Hardware | ICES 2010 | Robot |

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Added	12 Feb 2011
Updated	12 Feb 2011
Type	Journal
Year	2010
Where	ICES
Authors	Martin Trefzer, Tüze Kuyucu, Julian F. Miller, Andy M. Tyrrell

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Evolution and Analysis of a Robot Controller Based on a Gene Regulatory Network

Gene Regulatory Network | General Purpose Obstacle | Hardware | ICES 2010 | Robot |

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