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	The Genetic and Evolutionary Computation Conference - Duration: 8 Jul 2020 → …

Conference

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

Access to Document

https://doi.org/10.1145/3377929.3398135

2020_gecco_author_versionAccepted author manuscript, 809 KB

Cite this

@inproceedings{018e270625384f93b976d849903103aa,

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

}

TY - GEN

T1 - Reusability vs Morphological Space in Physical Robot Evolution

AU - Moreno, Rodrigo

AU - Faina, Andres

PY - 2020

Y1 - 2020

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

Y2 - 8 July 2020

ER -

Reusability vs Morphological Space in Physical Robot Evolution

Abstract

Conference

Access to Document

Fingerprint

Cite this