Impact of energy efficiency on the morphology and behaviour of evolved robots

Margarita Rebolledo; Daan Zeeuwe; Thomas Bartz-Beielstein; A. E. Eiben

doi:10.1145/3449726.3459489

Impact of energy efficiency on the morphology and behaviour of evolved robots

Margarita Rebolledo, Daan Zeeuwe, Thomas Bartz-Beielstein, A. E. Eiben

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Most evolutionary robotics studies focus on evolving some targeted behavior without considering energy usage. In this paper, we extend our simulator with a battery model to take energy consumption into account in a system where robot morphologies and controllers evolve simultaneously. The results show that including the energy consumption in the fitness in a multi-objective fashion reduces the average size of robot bodies while reducing their speed. However, robots generated without size reduction can achieve speeds comparable to robots from the baseline set.

Original language	English
Title of host publication	GECCO 2021
Subtitle of host publication	Proceedings of the Genetic and Evolutionary Computation Conference Companion
Publisher	Association for Computing Machinery, Inc
Pages	109-110
Number of pages	2
ISBN (Electronic)	9781450383516
DOIs	https://doi.org/10.1145/3449726.3459489
Publication status	Published - Jul 2021
Event	2021 Genetic and Evolutionary Computation Conference, GECCO 2021 - Virtual, Online, France Duration: 10 Jul 2021 → 14 Jul 2021

Conference

Conference	2021 Genetic and Evolutionary Computation Conference, GECCO 2021
Country/Territory	France
City	Virtual, Online
Period	10/07/21 → 14/07/21

Bibliographical note

Publisher Copyright:
© 2021 Owner/Author.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Keywords

energy efficiency
evolutionary robotics
modular robots
multi-objective evolution

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1145/3449726.3459489

Impact of energy efficiency on the morphology and behaviour of evolved robotsFinal published version, 429 KBLicence: Article 25fa Dutch Copyright Act

Cite this

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title = "Impact of energy efficiency on the morphology and behaviour of evolved robots",

abstract = "Most evolutionary robotics studies focus on evolving some targeted behavior without considering energy usage. In this paper, we extend our simulator with a battery model to take energy consumption into account in a system where robot morphologies and controllers evolve simultaneously. The results show that including the energy consumption in the fitness in a multi-objective fashion reduces the average size of robot bodies while reducing their speed. However, robots generated without size reduction can achieve speeds comparable to robots from the baseline set.",

keywords = "energy efficiency, evolutionary robotics, modular robots, multi-objective evolution",

author = "Margarita Rebolledo and Daan Zeeuwe and Thomas Bartz-Beielstein and Eiben, {A. E.}",

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year = "2021",

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doi = "10.1145/3449726.3459489",

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Rebolledo, M, Zeeuwe, D, Bartz-Beielstein, T & Eiben, AE 2021, Impact of energy efficiency on the morphology and behaviour of evolved robots. in GECCO 2021: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, pp. 109-110, 2021 Genetic and Evolutionary Computation Conference, GECCO 2021, Virtual, Online, France, 10/07/21. https://doi.org/10.1145/3449726.3459489

Impact of energy efficiency on the morphology and behaviour of evolved robots. / Rebolledo, Margarita; Zeeuwe, Daan; Bartz-Beielstein, Thomas et al.

GECCO 2021: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, 2021. p. 109-110.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Impact of energy efficiency on the morphology and behaviour of evolved robots

Abstract

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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