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

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › 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.

Original language	English
Title of host publication	Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion
Number of pages	3
Publisher	Association for Computing Machinery
Publication date	2020
Pages	1389-1391
ISBN (Print)	978-1-4503-7127-8
DOIs	https://doi.org/10.1145/3377929.3398135
Publication status	Published - 2020
Event	GECCO 2020: The Genetic and Evolutionary Computation Conference - online, Cancun, Mexico Duration: 8 Jul 2020 → 12 Jul 2020 https://gecco-2020.sigevo.org/index.html/HomePage

Conference

Conference	GECCO 2020
Location	online
Country/Territory	Mexico
City	Cancun
Period	08/07/2020 → 12/07/2020
Internet address	https://gecco-2020.sigevo.org/index.html/HomePage

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https://doi.org/10.1145/3377929.3398135

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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",

language = "English",

isbn = "978-1-4503-7127-8 ",

pages = " 1389--1391",

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",

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T1 - Reusability vs Morphological Space in Physical Robot Evolution

AU - Moreno, Rodrigo

AU - Faina, Andres

PY - 2020

Y1 - 2020

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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.

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 - GECCO 2020

Y2 - 8 July 2020 through 12 July 2020

ER -

Reusability vs Morphological Space in Physical Robot Evolution

Abstract

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