Reusability vs Morphological Space in Physical Robot Evolution

Rodrigo Moreno; Andres Faina

doi:https://doi.org/10.1145/3377929.3398135

Reusability vs Morphological Space in Physical Robot Evolution

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Abstrakt

Few evolved robots have been tested outside simulation due to real world experiments being resource and time expensive. In this paper, we discuss different approaches to physically implement evolved robots and propose a modular robot system with external automatic reconfiguration. While the morphological space is reduced, it provides us with a fast, reusable, fully autonomous system to evolve physical robots in reality.

Originalsprog	Engelsk
Titel	Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion
Antal sider	3
Forlag	Association for Computing Machinery
Publikationsdato	2020
Sider	1389-1391
ISBN (Trykt)	978-1-4503-7127-8
DOI	https://doi.org/10.1145/3377929.3398135
Status	Udgivet - 2020
Begivenhed	The Genetic and Evolutionary Computation Conference - Varighed: 8 jul. 2020 → …

Konference

Konference	The Genetic and Evolutionary Computation Conference
Periode	08/07/2020 → …

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https://doi.org/10.1145/3377929.3398135

2020_gecco_author_versionAccepteret manuskript, 809 KB

Citationsformater

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title = "Reusability vs Morphological Space in Physical Robot Evolution",

abstract = "Few evolved robots have been tested outside simulation due to real world experiments being resource and time expensive. In this paper, we discuss different approaches to physically implement evolved robots and propose a modular robot system with external automatic reconfiguration. While the morphological space is reduced, it provides us with a fast, reusable, fully autonomous system to evolve physical robots in reality. ",

author = "Rodrigo Moreno and Andres Faina",

year = "2020",

doi = "https://doi.org/10.1145/3377929.3398135",

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booktitle = "Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion",

publisher = "Association for Computing Machinery",

address = "United States",

note = "The Genetic and Evolutionary Computation Conference, GECCO2020 ; Conference date: 08-07-2020",

}

Reusability vs Morphological Space in Physical Robot Evolution. / Moreno, Rodrigo; Faina, Andres.

Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, 2020. s. 1389-1391.

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

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AU - Faina, Andres

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N2 - Few evolved robots have been tested outside simulation due to real world experiments being resource and time expensive. In this paper, we discuss different approaches to physically implement evolved robots and propose a modular robot system with external automatic reconfiguration. While the morphological space is reduced, it provides us with a fast, reusable, fully autonomous system to evolve physical robots in reality.

AB - Few evolved robots have been tested outside simulation due to real world experiments being resource and time expensive. In this paper, we discuss different approaches to physically implement evolved robots and propose a modular robot system with external automatic reconfiguration. While the morphological space is reduced, it provides us with a fast, reusable, fully autonomous system to evolve physical robots in reality.

U2 - https://doi.org/10.1145/3377929.3398135

DO - https://doi.org/10.1145/3377929.3398135

M3 - Article in proceedings

SN - 978-1-4503-7127-8

SP - 1389

EP - 1391

BT - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion

PB - Association for Computing Machinery

T2 - The Genetic and Evolutionary Computation Conference

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ER -

Reusability vs Morphological Space in Physical Robot Evolution

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