Automatic Running Planning for Omni-Directional Mobile Robot By Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Peng Chen and Shinji Koyama and 
                 Shinichiro Mitutake and Takashi Isoda",
  title =        "Automatic Running Planning for Omni-Directional Mobile
                 Robot By Genetic Programming",
  year =         "2003",
  month =        aug # "~11-13",
  pages =        "5",
  booktitle =    "WSEAS SEPAD-AIKED-ISPRA-EHAC",
  editor =       "Nikos Mastorakis",
  address =      "Rethymno, Greece",
  organisation = "The World Scientific and Engineering Academy and
                 Society (WSEAS)",
  keywords =     "genetic algorithms, genetic programming, off-road
                 running, omni-directional mobile robot, crawler-roller
                 running system, obstacle, running planning",
  URL =          "",
  URL =          "",
  size =         "5 pages",
  abstract =     "This paper presents a omni-directional mobile robot
                 which can run on off-road and run over a obstacle. The
                 robot equipped with crawler-roller running system. The
                 motion analysis is also discussed to realise the
                 autonomic off-road running. In order to automatically
                 control the robot to run in optional direction and an
                 orbit. We have to decide the inputting volts of the
                 motors according to given direction or orbit. Even
                 though we can do this by analysis theory, it is
                 difficult to control the robot in real time. So we
                 propose an intelligent control method using Genetic
                 Programming (GP) to search an optimum route leading the
                 robot to given destination and avoiding obstacles. We
                 have carried out many practical running tests and
                 simulations to verify the efficiency of the mechanism
                 and the intelligent control method. In this paper we
                 show an example of the tests.",

Genetic Programming entries for Peng Chen Shinji Koyama Shinichiro Mitutake Takashi Isoda