Environmental Regulation Using Plasticoding for the Evolution of Robots

Front Robot AI. 2020 Oct 1:7:107. doi: 10.3389/frobt.2020.00107. eCollection 2020.

Abstract

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: environmental effects; environmental regulation; evolutionary robotics; locomotion; morphological evolution; phenotypic plasticity.