- author = "Robert Burbidge and Joanne H. Walker and Myra S. Wilson",
- title = "Grammatical evolution of a robot controller",
- booktitle = "IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009",
- year = "2009",
- month = "11-15 " # oct,
- address = "St. Louis, USA",
- pages = "357--362",
- keywords = "genetic algorithms, genetic programming, grammatical evolution, Khepera robot, artificial intelligence, autonomous mobile robot, evolutionary algorithm, evolutionary technique, onboard controller, robot controller, grammars, mobile robots",
-
DOI = "
doi:10.1109/IROS.2009.5354411",
- abstract = "An autonomous mobile robot requires an on board 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.",
-
notes = "Department of Computer Science, Aberystwyth
University, Penglais, SY23 3DB, UK
Also known as \cite{5354411}",
