Grammatical evolution of a robot controller

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  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 =        "Also known as \cite{5354411}",

Genetic Programming entries for Robert Burbidge Joanne H Walker Myra S Wilson