Environmental regulation using Plasticoding for the evolution of robots

Fuente: arXiv
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Autores principales: Miras, Karine, Ferrante, Eliseo, Eiben, A. E.
Formato: Preprint
Publicado: 2020
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author Miras, Karine
Ferrante, Eliseo
Eiben, A. E.
author_facet Miras, Karine
Ferrante, Eliseo
Eiben, A. E.
contents 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 lifetime, according to its experienced environmental stimuli. We provide an empirical proof-of-concept, and the analysis of the experimental results shows that Plasticoding improves adaptation (task performance) while leading to different evolved morphologies, controllers, and behaviour.
format Preprint
id arxiv_https___arxiv_org_abs_2006_00025
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle Environmental regulation using Plasticoding for the evolution of robots
Miras, Karine
Ferrante, Eliseo
Eiben, A. E.
Robotics
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 lifetime, according to its experienced environmental stimuli. We provide an empirical proof-of-concept, and the analysis of the experimental results shows that Plasticoding improves adaptation (task performance) while leading to different evolved morphologies, controllers, and behaviour.
title Environmental regulation using Plasticoding for the evolution of robots
topic Robotics
url https://arxiv.org/abs/2006.00025