Grammatical evolution of a robot controller

Robert Burbidge; Joanne H. Walker; Myra S. Wilson

doi:10.1109/IROS.2009.5354411

Grammatical evolution of a robot controller

Robert Burbidge, Joanne H. Walker, Myra S. Wilson

Adran Cyfrifiadureg

Allbwn ymchwil: Cyfraniad at gynhadledd › Arall › adolygiad gan gymheiriaid

10 Dyfyniadau (Scopus)

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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.

Iaith wreiddiol	Saesneg
Tudalennau	357-362
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1109/IROS.2009.5354411
Statws	Cyhoeddwyd - Hyd 2009
Digwyddiad	Intelligent Robots and Systems - St. Louis, Unol Daleithiau America Hyd: 10 Hyd 2009 → 15 Hyd 2009

Cynhadledd

Cynhadledd	Intelligent Robots and Systems
Teitl cryno	IROS-2009
Gwlad/Tiriogaeth	Unol Daleithiau America
Dinas	St. Louis
Cyfnod	10 Hyd 2009 → 15 Hyd 2009

Mynediad at Ddogfen

10.1109/IROS.2009.5354411

http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5354411

Cysylltiad parhaol

Dolen barhaus

Ffeiliau eraill a chysylltiadau

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

Dyfynnu hyn

@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",

}

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 -

Grammatical evolution of a robot controller

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