Competitive co-evolution of sensory-motor systems

by Buason, Gunnar

Abstract (Summary)
A recent trend in evolutionary robotics and artificial life research is to maximize self-organization in the design of robotic systems, in particular using artificial evolutionary techniques, in order to reduce the human designer bias. This dissertation presents experiments in competitive co-evolutionary robotics that integrate and extend previous work on competitive co-evolution of neural robot controllers in a predator-prey scenario with work on the ‘co-evolution’ of robot morphology and control systems. The focus here is on a systematic investigation of tradeoffs and interdependencies between morphological parameters and behavioral strategies through a series of predator-prey experiments in which increasingly many aspects are subject to self-organization through competitive co-evolution. The results show that there is a strong interdependency between morphological parameters and behavioral strategies evolved, and that the competitive co-evolutionary process was able to find a balance between and within these two aspects. It is therefore concluded that competitive co-evolution has great potential as a method for the automatic design of robotic systems.
Bibliographical Information:


School:Högskolan i Skövde

School Location:Sweden

Source Type:Master's Thesis

Keywords:evolutionary robotics competitive co evolution sensory motor system robot morphology brain and body ‘co evolution’ parameter optimization predator prey vision


Date of Publication:02/06/2008

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