Constrained by Design: Influence of Genetic Encodings on Evolved Traits of Robots

Genetic encodings and their particular properties are known to have a strong influence on the success of evolutionary systems. However, the literature has widely focused on studying the effects that encodings have on performance, i.e., fitness-oriented studies. Notably, this anchoring of the literat...

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Main Author: Karine Miras
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Robotics and AI
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frobt.2021.672379/full
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author Karine Miras
author_facet Karine Miras
author_sort Karine Miras
collection DOAJ
description Genetic encodings and their particular properties are known to have a strong influence on the success of evolutionary systems. However, the literature has widely focused on studying the effects that encodings have on performance, i.e., fitness-oriented studies. Notably, this anchoring of the literature to performance is limiting, considering that performance provides bounded information about the behavior of a robot system. In this paper, we investigate how genetic encodings constrain the space of robot phenotypes and robot behavior. In summary, we demonstrate how two generative encodings of different nature lead to very different robots and discuss these differences. Our principal contributions are creating awareness about robot encoding biases, demonstrating how such biases affect evolved morphological, control, and behavioral traits, and finally scrutinizing the trade-offs among different biases.
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spelling doaj.art-f6d55d1485ff483387c07418a9d424222022-12-21T21:30:07ZengFrontiers Media S.A.Frontiers in Robotics and AI2296-91442021-06-01810.3389/frobt.2021.672379672379Constrained by Design: Influence of Genetic Encodings on Evolved Traits of RobotsKarine MirasGenetic encodings and their particular properties are known to have a strong influence on the success of evolutionary systems. However, the literature has widely focused on studying the effects that encodings have on performance, i.e., fitness-oriented studies. Notably, this anchoring of the literature to performance is limiting, considering that performance provides bounded information about the behavior of a robot system. In this paper, we investigate how genetic encodings constrain the space of robot phenotypes and robot behavior. In summary, we demonstrate how two generative encodings of different nature lead to very different robots and discuss these differences. Our principal contributions are creating awareness about robot encoding biases, demonstrating how such biases affect evolved morphological, control, and behavioral traits, and finally scrutinizing the trade-offs among different biases.https://www.frontiersin.org/articles/10.3389/frobt.2021.672379/fulllocalitybiasphenotypic traitsbehavioral traitsevolvable morphologiesevolvable robots
spellingShingle Karine Miras
Constrained by Design: Influence of Genetic Encodings on Evolved Traits of Robots
Frontiers in Robotics and AI
locality
bias
phenotypic traits
behavioral traits
evolvable morphologies
evolvable robots
title Constrained by Design: Influence of Genetic Encodings on Evolved Traits of Robots
title_full Constrained by Design: Influence of Genetic Encodings on Evolved Traits of Robots
title_fullStr Constrained by Design: Influence of Genetic Encodings on Evolved Traits of Robots
title_full_unstemmed Constrained by Design: Influence of Genetic Encodings on Evolved Traits of Robots
title_short Constrained by Design: Influence of Genetic Encodings on Evolved Traits of Robots
title_sort constrained by design influence of genetic encodings on evolved traits of robots
topic locality
bias
phenotypic traits
behavioral traits
evolvable morphologies
evolvable robots
url https://www.frontiersin.org/articles/10.3389/frobt.2021.672379/full
work_keys_str_mv AT karinemiras constrainedbydesigninfluenceofgeneticencodingsonevolvedtraitsofrobots