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Embodied Evolution in Collective Robotics: A Review

This article provides an overview of evolutionary robotics techniques applied to online distributed evolution for robot collectives, namely, embodied evolution. It provides a definition of embodied evolution as well as a thorough description of the underlying concepts and mechanisms. This article al...

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Detalles Bibliográficos
Autores principales: Bredeche, Nicolas, Haasdijk, Evert, Prieto, Abraham
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806005/
https://www.ncbi.nlm.nih.gov/pubmed/33500899
http://dx.doi.org/10.3389/frobt.2018.00012
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author Bredeche, Nicolas
Haasdijk, Evert
Prieto, Abraham
author_facet Bredeche, Nicolas
Haasdijk, Evert
Prieto, Abraham
author_sort Bredeche, Nicolas
collection PubMed
description This article provides an overview of evolutionary robotics techniques applied to online distributed evolution for robot collectives, namely, embodied evolution. It provides a definition of embodied evolution as well as a thorough description of the underlying concepts and mechanisms. This article also presents a comprehensive summary of research published in the field since its inception around the year 2000, providing various perspectives to identify the major trends. In particular, we identify a shift from considering embodied evolution as a parallel search method within small robot collectives (fewer than 10 robots) to embodied evolution as an online distributed learning method for designing collective behaviors in swarm-like collectives. This article concludes with a discussion of applications and open questions, providing a milestone for past and an inspiration for future research.
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spelling pubmed-78060052021-01-25 Embodied Evolution in Collective Robotics: A Review Bredeche, Nicolas Haasdijk, Evert Prieto, Abraham Front Robot AI Robotics and AI This article provides an overview of evolutionary robotics techniques applied to online distributed evolution for robot collectives, namely, embodied evolution. It provides a definition of embodied evolution as well as a thorough description of the underlying concepts and mechanisms. This article also presents a comprehensive summary of research published in the field since its inception around the year 2000, providing various perspectives to identify the major trends. In particular, we identify a shift from considering embodied evolution as a parallel search method within small robot collectives (fewer than 10 robots) to embodied evolution as an online distributed learning method for designing collective behaviors in swarm-like collectives. This article concludes with a discussion of applications and open questions, providing a milestone for past and an inspiration for future research. Frontiers Media S.A. 2018-02-22 /pmc/articles/PMC7806005/ /pubmed/33500899 http://dx.doi.org/10.3389/frobt.2018.00012 Text en Copyright © 2018 Bredeche, Haasdijk and Prieto. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Bredeche, Nicolas
Haasdijk, Evert
Prieto, Abraham
Embodied Evolution in Collective Robotics: A Review
title Embodied Evolution in Collective Robotics: A Review
title_full Embodied Evolution in Collective Robotics: A Review
title_fullStr Embodied Evolution in Collective Robotics: A Review
title_full_unstemmed Embodied Evolution in Collective Robotics: A Review
title_short Embodied Evolution in Collective Robotics: A Review
title_sort embodied evolution in collective robotics: a review
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806005/
https://www.ncbi.nlm.nih.gov/pubmed/33500899
http://dx.doi.org/10.3389/frobt.2018.00012
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