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ICES
2010
Springer

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

8 years 3 months ago
Evolution and Analysis of a Robot Controller Based on a Gene Regulatory Network
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
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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