Evolving Robot Controllers in PDL using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Peter Shannon and Chrystopher L. Nehaniv",
  title =        "Evolving Robot Controllers in PDL using Genetic
  booktitle =    "The 2011 IEEE Symposium on Artificial Life",
  year =         "2011",
  editor =       "Chrystopher Nehaniv and Terry Bossomaier and 
                 Hiroki Sayama",
  pages =        "92--99",
  address =      "Paris, France",
  month =        apr # " 13-15",
  organisation = "IEEE Computational Intelligence Society",
  keywords =     "genetic algorithms, genetic programming, autonomous
                 agents, behaviour-based PDL language, dynamical
                 systems-oriented language, parallel parking, physics
                 simulator solved, robot controllers, control
                 engineering computing, robot programming",
  ISSN =         "2160-6374",
  DOI =          "doi:10.1109/ALIFE.2011.5954644",
  size =         "8 pages",
  abstract =     "We demonstrate how autonomous agents can be evolved
                 whose controllers are programs in the dynamical
                 systems-oriented, behaviour-based PDL language
                 introduced by Luc Steels. Controllers evolved using a
                 physics simulator solved the problem of parallel
                 parking a car without colliding into obstacles on three
                 sides of a parking area.",
  notes =        "http://coco.binghamton.edu/ieee-alife2011/

                 Also known as \cite{5954644}",

Genetic Programming entries for Peter D Shannon Chrystopher L Nehaniv