Evolving robot controllers in PDL using genetic programming

P. Shannon; C.L. Nehaniv

doi:10.1109/ALIFE.2011.5954644

Evolving robot controllers in PDL using genetic programming

P. Shannon, C.L. Nehaniv

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

We demonstrate how autonomous agents can be evolved whose controllers are programs in the dynamical systems-oriented, behaviour-based PDL language introduced by Luc Steels. Controllers evolved using a physics simulator solved the problem of parallel parking a car without colliding into obstacles on three sides of a parking area.

Original language	English
Title of host publication	IEEE SSCI 2011 - Symposium Series on Computational Intelligence - IEEE ALIFE 2011: 2011 IEEE Symposium on Artificial Life
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	92-99
Number of pages	8
ISBN (Print)	978-1-61284-062-8
DOIs	https://doi.org/10.1109/ALIFE.2011.5954644
Publication status	Published - 2011
Event	IEEE ALIFE 2011 - Paris, France Duration: 11 Apr 2011 → 15 Apr 2011

Conference

Conference	IEEE ALIFE 2011
Country/Territory	France
City	Paris
Period	11/04/11 → 15/04/11

Access to Document

10.1109/ALIFE.2011.5954644

Cite this

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title = "Evolving robot controllers in PDL using genetic programming",

abstract = "We demonstrate how autonomous agents can be evolved whose controllers are programs in the dynamical systems-oriented, behaviour-based PDL language introduced by Luc Steels. Controllers evolved using a physics simulator solved the problem of parallel parking a car without colliding into obstacles on three sides of a parking area.",

author = "P. Shannon and C.L. Nehaniv",

note = "“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.{"} “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”; IEEE ALIFE 2011 ; Conference date: 11-04-2011 Through 15-04-2011",

year = "2011",

doi = "10.1109/ALIFE.2011.5954644",

language = "English",

isbn = "978-1-61284-062-8",

pages = "92--99",

booktitle = "IEEE SSCI 2011 - Symposium Series on Computational Intelligence - IEEE ALIFE 2011: 2011 IEEE Symposium on Artificial Life",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

}

Shannon, P & Nehaniv, CL 2011, Evolving robot controllers in PDL using genetic programming. in IEEE SSCI 2011 - Symposium Series on Computational Intelligence - IEEE ALIFE 2011: 2011 IEEE Symposium on Artificial Life. Institute of Electrical and Electronics Engineers (IEEE), pp. 92-99, IEEE ALIFE 2011, Paris, France, 11/04/11. https://doi.org/10.1109/ALIFE.2011.5954644

Evolving robot controllers in PDL using genetic programming. / Shannon, P.; Nehaniv, C.L.
IEEE SSCI 2011 - Symposium Series on Computational Intelligence - IEEE ALIFE 2011: 2011 IEEE Symposium on Artificial Life. Institute of Electrical and Electronics Engineers (IEEE), 2011. p. 92-99.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Evolving robot controllers in PDL using genetic programming

AU - Shannon, P.

AU - Nehaniv, C.L.

N1 - “This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”

PY - 2011

Y1 - 2011

N2 - We demonstrate how autonomous agents can be evolved whose controllers are programs in the dynamical systems-oriented, behaviour-based PDL language introduced by Luc Steels. Controllers evolved using a physics simulator solved the problem of parallel parking a car without colliding into obstacles on three sides of a parking area.

AB - We demonstrate how autonomous agents can be evolved whose controllers are programs in the dynamical systems-oriented, behaviour-based PDL language introduced by Luc Steels. Controllers evolved using a physics simulator solved the problem of parallel parking a car without colliding into obstacles on three sides of a parking area.

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DO - 10.1109/ALIFE.2011.5954644

M3 - Conference contribution

AN - SCOPUS:80051635446

SN - 978-1-61284-062-8

SP - 92

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BT - IEEE SSCI 2011 - Symposium Series on Computational Intelligence - IEEE ALIFE 2011: 2011 IEEE Symposium on Artificial Life

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - IEEE ALIFE 2011

Y2 - 11 April 2011 through 15 April 2011

ER -

Evolving robot controllers in PDL using genetic programming

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