Developing Mobile Robot Wall-Following Algorithms Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "Robert A. Dain",
  title =        "Developing Mobile Robot Wall-Following Algorithms
                 Using Genetic Programming",
  journal =      "Applied Intelligence",
  year =         "1998",
  volume =       "8",
  number =       "5",
  pages =        "33--41",
  month =        jan,
  keywords =     "genetic algorithms, genetic programming, computational
                 genetics, machine learning, adaptive systems",
  ISSN =         "0924-669X",
  DOI =          "doi:10.1023/A:1008216530547",
  size =         "9 pages",
  abstract =     "This paper demonstrates the use of genetic programming
                 (GP) for the development of mobile robot wall-following
                 behaviours. Algorithms are developed for a simulated
                 mobile robot that uses an array of range finders for
                 navigation. Navigation algorithms are tested in a
                 variety of differently shaped environments to encourage
                 the development of robust solutions, and reduce the
                 possibility of solutions based on memorisation of a
                 fixed set of movements. A brief introduction to GP is
                 presented. A typical wall-following robot evolutionary
                 cycle is analysed, and results are presented. GP is
                 shown to be capable of producing robust wall-following
                 navigation algorithms that perform well in each of the
                 test environments used.",
  notes =        "Special Issues on Evolutionary Learning, Xin Yao and
                 Don Potter, Guest Editors",

Genetic Programming entries for Robert A Dain