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PDF 976 KB
DOI: http://dx.doi.org/10.7551/978-0-262-33027-5-ch025
Pages 106–113
First published 20 July 2015

Evolving Robot Controllers Using Carbon Nanotubes

Maktuba Mohid and Julian F. Miller

Abstract

Evolution-in-materio uses computer-controlled evolution to configure materials to solve computational problems. In this paper, the material is a mixture of single-walled carbon nanotubes in an insulating polymer. We show for the first time that using purpose-built hardware it is possible to evolve volt-ages and signals applied to such materials to control robots, both simulated (Kephera) and real (Pi-Swarm). Evolved controllers were able to fully explore an environment, avoid obstacles, and cope with introduced faults, errors and environment changes. We also evolved a robot controller that could solve mazes of various difficulties.