Evolving Robust Robot Controllers for Corridor Following using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  title =        "Evolving Robust Robot Controllers for Corridor
                 Following using Genetic Programming",
  author =       "Bart Wyns and Bert Bonte and Luc Boullart",
  booktitle =    "Proceedings of the International Conference on Agents
                 and Artificial Intelligence, ICAART 2010",
  year =         "2010",
  editor =       "Joaquim Filipe and Ana L. N. Fred and 
                 Bernadette Sharp",
  volume =       "1",
  pages =        "443--446",
  address =      "Valencia, Spain",
  month =        jan # " 22-24",
  keywords =     "genetic algorithms, genetic programming: Poster",
  publisher =    "INSTICC Press",
  isbn13 =       "978-989-674-021-4",
  URL =          "https://biblio.ugent.be/publication/978399/file/985375.pdf",
  size =         "4 pages",
  bibdate =      "2010-03-03",
  bibsource =    "DBLP,
  abstract =     "Designing robots and robot controllers is a highly
                 complex and often expensive task. However, genetic
                 programming provides an automated design strategy to
                 evolve complex controllers based on evolution in
                 nature. We show that, even with limited computational
                 resources, genetic programming is able to evolve
                 efficient robot controllers for corridor following in a
                 simulation environment. Therefore, a mixed and gradual
                 form of layered learning is used, resulting in very
                 robust and efficient controllers. Furthermore, the
                 controller is successfully applied to real environments
                 as well.",
  notes =        "Paper Nr: 26",

Genetic Programming entries for Bart Wyns Bert Bonte Luc Boullart