Evolving robot software and hardware

A. E. Eiben

doi:10.1145/3387939.3391593

Evolving robot software and hardware

A. E. Eiben^*

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

This paper summarizes the keynote I gave on the SEAMS 2020 conference. Noting the power of natural evolution that makes living systems extremely adaptive, I describe how artificial evolution can be employed to solve design and optimization problems in software. Thereafter, I discuss the Evolution of Things, that is, the possibility of evolving physical artefacts and zoom in on a (r)evolutionary way of creating 'bodies' and 'brains' of robots for engineering and fundamental research.

Original language	English
Title of host publication	SEAMS 2020
Subtitle of host publication	Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
Publisher	Association for Computing Machinery, Inc
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781450379625
DOIs	https://doi.org/10.1145/3387939.3391593
Publication status	Published - 2020
Event	15th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2020 - Virtual, Online, Korea, Republic of Duration: 29 Jun 2020 → 3 Jul 2020

Conference

Conference	15th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2020
Country/Territory	Korea, Republic of
City	Virtual, Online
Period	29/06/20 → 3/07/20

Funding

I gratefully acknowledge the financial support of the Vrije Univer-siteit Amsterdam and the EPSRC under the ARE project: EP/R03561X, EP/R035679, EP/R035733.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 14 Life Below Water

Keywords

evolutionary computation
evolutionary robotics
learning

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10.1145/3387939.3391593

Evolving robot software and hardwareFinal published version, 2.09 MBLicence: Article 25fa Dutch Copyright Act

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title = "Evolving robot software and hardware",

abstract = "This paper summarizes the keynote I gave on the SEAMS 2020 conference. Noting the power of natural evolution that makes living systems extremely adaptive, I describe how artificial evolution can be employed to solve design and optimization problems in software. Thereafter, I discuss the Evolution of Things, that is, the possibility of evolving physical artefacts and zoom in on a (r)evolutionary way of creating 'bodies' and 'brains' of robots for engineering and fundamental research. ",

keywords = "evolutionary computation, evolutionary robotics, learning",

author = "Eiben, \{A. E.\}",

year = "2020",

doi = "10.1145/3387939.3391593",

language = "English",

pages = "1--4",

booktitle = "SEAMS 2020",

publisher = "Association for Computing Machinery, Inc",

note = "15th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2020 ; Conference date: 29-06-2020 Through 03-07-2020",

}

Eiben, AE 2020, Evolving robot software and hardware. in SEAMS 2020: Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems. Association for Computing Machinery, Inc, pp. 1-4, 15th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2020, Virtual, Online, Korea, Republic of, 29/06/20. https://doi.org/10.1145/3387939.3391593

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AU - Eiben, A. E.

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N2 - This paper summarizes the keynote I gave on the SEAMS 2020 conference. Noting the power of natural evolution that makes living systems extremely adaptive, I describe how artificial evolution can be employed to solve design and optimization problems in software. Thereafter, I discuss the Evolution of Things, that is, the possibility of evolving physical artefacts and zoom in on a (r)evolutionary way of creating 'bodies' and 'brains' of robots for engineering and fundamental research.

AB - This paper summarizes the keynote I gave on the SEAMS 2020 conference. Noting the power of natural evolution that makes living systems extremely adaptive, I describe how artificial evolution can be employed to solve design and optimization problems in software. Thereafter, I discuss the Evolution of Things, that is, the possibility of evolving physical artefacts and zoom in on a (r)evolutionary way of creating 'bodies' and 'brains' of robots for engineering and fundamental research.

KW - evolutionary computation

KW - evolutionary robotics

KW - learning

UR - https://www.scopus.com/pages/publications/85093081581

UR - https://www.scopus.com/pages/publications/85093081581#tab=citedBy

U2 - 10.1145/3387939.3391593

DO - 10.1145/3387939.3391593

M3 - Conference contribution

AN - SCOPUS:85093081581

SP - 1

EP - 4

BT - SEAMS 2020

PB - Association for Computing Machinery, Inc

T2 - 15th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2020

Y2 - 29 June 2020 through 3 July 2020

ER -

Evolving robot software and hardware

Abstract

Conference

Funding

UN SDGs

Keywords

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