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

Department of Computer Science

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

9 Citations (Scopus)

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.

Original language	English
Pages	357-362
DOIs	https://doi.org/10.1109/IROS.2009.5354411
Publication status	Published - Oct 2009
Event	Intelligent Robots and Systems - St. Louis, United States of America Duration: 10 Oct 2009 → 15 Oct 2009

Conference

Conference	Intelligent Robots and Systems
Abbreviated title	IROS-2009
Country/Territory	United States of America
City	St. Louis
Period	10 Oct 2009 → 15 Oct 2009

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

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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.

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ER -

Grammatical evolution of a robot controller

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