Frontiers in Robotics and AI (Oct 2020)

Environmental Regulation Using Plasticoding for the Evolution of Robots

  • Karine Miras,
  • Eliseo Ferrante,
  • Eliseo Ferrante,
  • A. E. Eiben

DOI
https://doi.org/10.3389/frobt.2020.00107
Journal volume & issue
Vol. 7

Abstract

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Evolutionary robot systems are usually affected by the properties of the environment indirectly through selection. In this paper, we present and investigate a system where the environment also has a direct effect—through regulation. We propose a novel robot encoding method where a genotype encodes multiple possible phenotypes, and the incarnation of a robot depends on the environmental conditions taking place in a determined moment of its life. This means that the morphology, controller, and behavior of a robot can change according to the environment. Importantly, this process of development can happen at any moment of a robot's lifetime, according to its experienced environmental stimuli. We provide an empirical proof-of-concept, and the analysis of the experimental results shows that environmental regulation improves adaptation (task performance) while leading to different evolved morphologies, controllers, and behavior.

Keywords