Nonlinear dynamics modelling for controller evolution

The problem of how to acquire a model of a physical robot, which is fit for evolution of controllers that can subsequently be used to control that robot, is considered in the context of racing a radio-controlled toy car around a randomised track. Several modelling techniques are compared, and the specific properties of the acquired models that influence the quality of the evolved controller are discussed. As we aim to minimise the amount of domain knowledge used, we further investigate the relation between the assumptions about the modelled system made by particular modelling techniques and the suitability of the acquired models as bases for controller evolution. We find that none of the models acquired is good enough on its own, and that a key to evolving robust behaviour is to evaluate controllers simultaneously on multiple models during evolution. Examples of successfully evolved racing control for the physical car are analysed. Categories and Subject Descriptors I.2 [ARTIFICIA...

• Type: Conference
• Year: 2007
• Where: GECCO
• Authors: Julian Togelius, Renzo De Nardi, Hugo Gravato Marques, Richard Newcombe, Simon M. Lucas, Owen Holland
• Keywords: GECCO 2007, Modelling Techniques, Radio-controlled Toy Car, Several Modelling Techniques