Reusability vs Morphological Space in Physical Robot Evolution

Rodrigo Moreno; Andres Faina

doi:10.1145/3377929.3398135

Reusability vs Morphological Space in Physical Robot Evolution

Robotics, Evolution, and Art Lab

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

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.

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	GECCO 2020: The Genetic and Evolutionary Computation Conference - online, Cancun, Mexico Varighed: 8 jul. 2020 → 12 jul. 2020 https://gecco-2020.sigevo.org/index.html/HomePage

Konference

Konference	GECCO 2020
Lokation	online
Land/Område	Mexico
By	Cancun
Periode	08/07/2020 → 12/07/2020
Internetadresse	https://gecco-2020.sigevo.org/index.html/HomePage

Emneord

evolved robots
modular robot system
physical implementation
automatic reconfiguration
autonomous system

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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. ",

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author = "Rodrigo Moreno and Andres Faina",

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doi = "10.1145/3377929.3398135",

language = "English",

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

publisher = "Association for Computing Machinery",

address = "United States",

note = "GECCO 2020 : The Genetic and Evolutionary Computation Conference, GECCO2020 ; Conference date: 08-07-2020 Through 12-07-2020",

url = "https://gecco-2020.sigevo.org/index.html/HomePage",

}

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

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AU - Faina, Andres

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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.

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KW - modular robot system

KW - physical implementation

KW - automatic reconfiguration

KW - autonomous system

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KW - modular robot system

KW - physical implementation

KW - automatic reconfiguration

KW - autonomous system

U2 - 10.1145/3377929.3398135

DO - 10.1145/3377929.3398135

M3 - Article in proceedings

SN - 978-1-4503-7127-8

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

PB - Association for Computing Machinery

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ER -

Reusability vs Morphological Space in Physical Robot Evolution

Abstract

Konference

Emneord

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Citationsformater