Grammatical evolution of a robot controller

Type Other
Original languageEnglish
Pages357-362
DOI
Publication statusPublished - Oct 2009
Event2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009) - St. Louis, MO, USA, United Kingdom of Great Britain and Northern Ireland
Duration: 10 Oct 200915 Oct 2009

Conference

Conference2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009)
CountryUnited Kingdom of Great Britain and Northern Ireland
Period10 Oct 200915 Oct 2009
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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.