The EMeRGE modular robot, an open platform for quick testing of evolved robot morphologies

Rodrigo Moreno Garcia; Ceyue Liu; Andres Faina; Henry Hernandez; Jonatan Gomez

doi:10.1145/3067695.3075616

The EMeRGE modular robot, an open platform for quick testing of evolved robot morphologies

Rodrigo Moreno Garcia, Ceyue Liu, Andres Faina, Henry Hernandez, Jonatan Gomez

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

Abstract

This work presents the hardware design and implementation of the EMeRGE open modular robot platform. EMeRGE (Easy Modular Embodied Robot Generation) modules are designed to be cheap and easy to build and their hardware is open for anyone to use and modify. Four magnetic connectors enable the quick assembly of different complex robot morphologies like the ones generated by evolutionary robotics experiments. Non-human agents, like robotic manipulators, can also take advantage of the magnetic connectors to assemble and disassemble morphologies.

Original language	English
Title of host publication	GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion
Number of pages	2
Publisher	Association for Computing Machinery
Publication date	15 Jul 2017
Pages	71-72
ISBN (Electronic)	978-1-4503-4939-0
DOIs	https://doi.org/10.1145/3067695.3075616
Publication status	Published - 15 Jul 2017
Event	The Genetic and Evolutionary Computation Conference - Berlin, Germany, Germany Duration: 15 Jul 2017 → 19 Jul 2017 http://gecco-2017.sigevo.org/index.html/HomePage

Conference

Conference	The Genetic and Evolutionary Computation Conference
Location	Berlin
Country/Territory	Germany
City	Germany
Period	15/07/2017 → 19/07/2017
Internet address	http://gecco-2017.sigevo.org/index.html/HomePage

Keywords

Modular Robots
Morphology
Quick assembly
Magnetic connectors
Open hardware
Transferability

Access to Document

10.1145/3067695.3075616

emerge-modular-robot_postprintAccepted author manuscript, 904 KB

Cite this

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title = "The EMeRGE modular robot, an open platform for quick testing of evolved robot morphologies",

abstract = "This work presents the hardware design and implementation of the EMeRGE open modular robot platform. EMeRGE (Easy Modular Embodied Robot Generation) modules are designed to be cheap and easy to build and their hardware is open for anyone to use and modify. Four magnetic connectors enable the quick assembly of different complex robot morphologies like the ones generated by evolutionary robotics experiments. Non-human agents, like robotic manipulators, can also take advantage of the magnetic connectors to assemble and disassemble morphologies. ",

keywords = "Modular Robots, Morphology, Quick assembly, Magnetic connectors, Open hardware, Transferability",

author = "{Moreno Garcia}, Rodrigo and Ceyue Liu and Andres Faina and Henry Hernandez and Jonatan Gomez",

year = "2017",

month = jul,

day = "15",

doi = "10.1145/3067695.3075616",

language = "English",

pages = "71--72 ",

booktitle = "GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion",

publisher = "Association for Computing Machinery",

address = "United States",

note = "The Genetic and Evolutionary Computation Conference, GECCO ; Conference date: 15-07-2017 Through 19-07-2017",

url = "http://gecco-2017.sigevo.org/index.html/HomePage",

}

Moreno Garcia, R, Liu, C, Faina, A, Hernandez, H & Gomez, J 2017, The EMeRGE modular robot, an open platform for quick testing of evolved robot morphologies. in GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, pp. 71-72 , The Genetic and Evolutionary Computation Conference, Germany, Germany, 15/07/2017. https://doi.org/10.1145/3067695.3075616

The EMeRGE modular robot, an open platform for quick testing of evolved robot morphologies. / Moreno Garcia, Rodrigo; Liu, Ceyue; Faina, Andres et al.
GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, 2017. p. 71-72 .

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

TY - GEN

T1 - The EMeRGE modular robot, an open platform for quick testing of evolved robot morphologies

AU - Moreno Garcia, Rodrigo

AU - Liu, Ceyue

AU - Faina, Andres

AU - Hernandez, Henry

AU - Gomez, Jonatan

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N2 - This work presents the hardware design and implementation of the EMeRGE open modular robot platform. EMeRGE (Easy Modular Embodied Robot Generation) modules are designed to be cheap and easy to build and their hardware is open for anyone to use and modify. Four magnetic connectors enable the quick assembly of different complex robot morphologies like the ones generated by evolutionary robotics experiments. Non-human agents, like robotic manipulators, can also take advantage of the magnetic connectors to assemble and disassemble morphologies.

AB - This work presents the hardware design and implementation of the EMeRGE open modular robot platform. EMeRGE (Easy Modular Embodied Robot Generation) modules are designed to be cheap and easy to build and their hardware is open for anyone to use and modify. Four magnetic connectors enable the quick assembly of different complex robot morphologies like the ones generated by evolutionary robotics experiments. Non-human agents, like robotic manipulators, can also take advantage of the magnetic connectors to assemble and disassemble morphologies.

KW - Modular Robots

KW - Morphology

KW - Quick assembly

KW - Magnetic connectors

KW - Open hardware

KW - Transferability

U2 - 10.1145/3067695.3075616

DO - 10.1145/3067695.3075616

M3 - Article in proceedings

SP - 71

EP - 72

BT - GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion

PB - Association for Computing Machinery

T2 - The Genetic and Evolutionary Computation Conference

Y2 - 15 July 2017 through 19 July 2017

ER -

The EMeRGE modular robot, an open platform for quick testing of evolved robot morphologies

Abstract

Conference

Keywords

Access to Document

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Cite this