Evolutionary Design of Controllers for Autonomous Line Tracking Mobile Robots Using Population Based Incremental Learning

Abstract

This paper concerns the design of sensor topology and reaction controllers for autonomous mobile robots following a line. Artificial evolution [1,2] is used as the design methodology. Here, it is shown PBIL [3] is powerful enough to evolve autonomous creatures exhibiting complex behavior. Designing optimal sensor topology, symmetric and asymmetric control… (More)

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