Evolving communicating controllers for multiple mobile robot systems

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "I. Ashiru and C. A. Czarnecki",
  title =        "Evolving communicating controllers for multiple mobile
                 robot systems",
  journal =      "Microprocessors and Microsystems",
  year =         "1998",
  volume =       "21",
  pages =        "393--402",
  number =       "6",
  keywords =     "genetic algorithms, genetic programming, Mobile
                 robots, Communication",
  owner =        "wlangdon",
  URL =          "http://www.sciencedirect.com/science/article/B6V0X-3TB0788-6/2/445577f1e7cd0c0d531457835edf327e",
  ISSN =         "0141-9331",
  DOI =          "doi:10.1016/S0141-9331(98)00054-4",
  abstract =     "Multiple mobile robot systems working together to
                 achieve a task have many advantages over single robot
                 systems. However, the planning and execution of a task
                 which is to be undertaken by multiple robots is
                 extremely difficult. To date no tools exist which allow
                 such systems to be engineered. One of the key questions
                 that arises when developing such systems is: does
                 communication between the robots aid the completion of
                 the task, and if so what information should be
                 communicated? This paper presents the results of an
                 investigation undertaken to address the above question.
                 The approach adopted is to use genetic programming (GP)
                 with the aim of evolving a controller, and letting the
                 evolution process determine what information should be
                 communicated and how best to use this information. A
                 number of experiments were performed with the aim of
                 determining the communication requirements. The results
                 of these experiments are presented in this paper. It is
                 shown that the GP system evolved controllers whose
                 performance benefitted as a result of the communication

Genetic Programming entries for I Ashiru C A Czarnecki