A platform for evolving controllers for simulated drawing robots

Authors:
Gary Greenfield
Affiliations:
University of Richmond, Richmond, VA
Venue:
EvoMUSART'12 Proceedings of the First international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
Year:
2012

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Abstract

We investigate the problem of evolving controllers for simulated drawing robots. We describe the primitive assembly language that we designed to use for the genome for a drawing robot in order to facilitate controller evolution, as well as the corresponding structure and execution of the decision tree phenotype it supports. Our controllers are modeled after controllers that have been evolved for video games such as Mario Bros. We present some preliminary examples of evolved controller robot drawings.