Evolving cooperative robotic behaviour using distributed genetic programming

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

  author =       "Chris H. Messom and Matthew G. Walker",
  title =        "Evolving cooperative robotic behaviour using
                 distributed genetic programming",
  booktitle =    "Seventh International Conference on Control,
                 Automation, Robotics and Vision, ICARCV 2002",
  year =         "2002",
  pages =        "215--219",
  address =      "Singapore",
  month =        "2-5 " # dec,
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.massey.ac.nz/~chmessom/MessomWalkerICARCV2002.pdf",
  DOI =          "doi:10.1109/ICARCV.2002.1234823",
  abstract =     "Cooperative robotic systems provide design and
                 implementation challenges that are not easy to solve.
                 This paper describes a parallel implementation for
                 evolving cooperative robotic behaviour using an island
                 model based genetic program on a cluster computer
                 system. The application domain is robot soccer in which
                 two robots must cooperate to avoid collisions with each
                 other and score goals. The system has access to robot
                 and ball positions and outputs velocity set points for
                 the robot wheel motors. The evolved controllers are
                 evaluated on a kinematic model that has been optimised
                 to improve the time complexity of the genetic
                 programming algorithm. The inter-process communication
                 on the cluster is implemented using the message passing
                 interface (MPI).",
  bibsource =    "DBLP, http://dblp.uni-trier.de",

Genetic Programming entries for Chris Messom Matthew Walker