Grammatical evolution of a robot controller

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Grammatical evolution of a robot controller. / Burbidge, Robert; Walker, Joanne H.; Wilson, Myra S.

2009. 357-362 Intelligent Robots and Systems, St. Louis, Missouri, United States of America.

Research output: Contribution to conference › Other › peer-review

Harvard

Burbidge, R, Walker, JH & Wilson, MS 2009, 'Grammatical evolution of a robot controller', Intelligent Robots and Systems, St. Louis, United States of America, 10 Oct 2009 - 15 Oct 2009 pp. 357-362. https://doi.org/10.1109/IROS.2009.5354411

APA

Burbidge, R., Walker, J. H., & Wilson, M. S. (2009). Grammatical evolution of a robot controller. 357-362. Intelligent Robots and Systems, St. Louis, Missouri, United States of America. https://doi.org/10.1109/IROS.2009.5354411

Vancouver

Burbidge R, Walker JH, Wilson MS. Grammatical evolution of a robot controller. 2009. Intelligent Robots and Systems, St. Louis, Missouri, United States of America. doi: 10.1109/IROS.2009.5354411

Author

Burbidge, Robert ; Walker, Joanne H. ; Wilson, Myra S. / Grammatical evolution of a robot controller. Intelligent Robots and Systems, St. Louis, Missouri, United States of America.

Bibtex - Download

@conference{36bbf5b61b334718bcef0bf24980065b,
title = "Grammatical evolution of a robot controller",
abstract = "An autonomous mobile robot requires an onboard controller that allows it to perform its tasks for long periods in isolation. One possibility is for the robot to adapt to its environment using some form of artificial intelligence. Evolutionary techniques such as genetic programming (GP) offer the possibility of automatically programming the controller based on the robot's experience of the world. Grammatical evolution (GE) is a recent evolutionary algorithm that has been successfully applied to various problems, particularly those for which GP has been successful. We present a method for applying GE to autonomous robot control and evaluate it in simulation for the Khepera robot.",
author = "Robert Burbidge and Walker, {Joanne H.} and Wilson, {Myra S.}",
note = "Funder: EPSRC RONO: EP/D054419/1 ; Intelligent Robots and Systems, IROS-2009 ; Conference date: 10-10-2009 Through 15-10-2009",
year = "2009",
month = oct,
doi = "10.1109/IROS.2009.5354411",
language = "English",
pages = "357--362",

}

RIS (suitable for import to EndNote) - Download

TY - CONF

T1 - Grammatical evolution of a robot controller

AU - Burbidge, Robert

AU - Walker, Joanne H.

AU - Wilson, Myra S.

N1 - Funder: EPSRC RONO: EP/D054419/1

PY - 2009/10

Y1 - 2009/10

N2 - An autonomous mobile robot requires an onboard controller that allows it to perform its tasks for long periods in isolation. One possibility is for the robot to adapt to its environment using some form of artificial intelligence. Evolutionary techniques such as genetic programming (GP) offer the possibility of automatically programming the controller based on the robot's experience of the world. Grammatical evolution (GE) is a recent evolutionary algorithm that has been successfully applied to various problems, particularly those for which GP has been successful. We present a method for applying GE to autonomous robot control and evaluate it in simulation for the Khepera robot.

AB - An autonomous mobile robot requires an onboard controller that allows it to perform its tasks for long periods in isolation. One possibility is for the robot to adapt to its environment using some form of artificial intelligence. Evolutionary techniques such as genetic programming (GP) offer the possibility of automatically programming the controller based on the robot's experience of the world. Grammatical evolution (GE) is a recent evolutionary algorithm that has been successfully applied to various problems, particularly those for which GP has been successful. We present a method for applying GE to autonomous robot control and evaluate it in simulation for the Khepera robot.

UR - http://hdl.handle.net/2160/41194

U2 - 10.1109/IROS.2009.5354411

DO - 10.1109/IROS.2009.5354411

M3 - Other

SP - 357

EP - 362

T2 - Intelligent Robots and Systems

Y2 - 10 October 2009 through 15 October 2009

ER -

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