A Hybrid GP/GA Approach for Co-evolving Controllers and Robot Bodies to Achieve Fitness-Specified Tasks

Created by W.Langdon from gp-bibliography.bib Revision:1.1944

@InProceedings{lee:1996:hGPGAccrb,
  author =       "Wei-Po Lee and John Hallam and Henrik Hautop Lund",
  title =        "A Hybrid {GP}/{GA} Approach for Co-evolving
                 Controllers and Robot Bodies to Achieve
                 Fitness-Specified Tasks",
  booktitle =    "Proceedings of the 1996 {IEEE} International
                 Conference on Evolutionary Computation",
  year =         "1996",
  address =      "Nagoya, Japan",
  month =        "20-22 " # may,
  organisation = "IEEE Neural Network Council",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-7803-2902-3",
  URL =          "ftp://ftp.daimi.au.dk/pub/stud/hhl/bodyplan.ps.Z",
  URL =          "http://citeseer.ist.psu.edu/lee96hybrid.html",
  doi =          "doi:10.1109/ICEC.1996.542394",
  size =         "6 pages",
  abstract =     "Evolutionary approaches have been advocated to
                 automate robot design. Some research work has shown the
                 success of evolving controllers for the robots by
                 genetic approaches. As we can observe, however, not
                 only the controller but also the robot body itself can
                 affect the behaviour of the robot in a robot system. We
                 develop a hybrid GP/GA approach to evolve both
                 controllers and robot bodies to achieve
                 behavior-specified tasks. In order to assess the
                 performance of the developed approach, it is used to
                 evolve a simulated agent, with its own controller and
                 body, to do obstacle avoidance in the simulated
                 environment. Experimental results show the promise of
                 this work. In addition, the importance of co-evolving
                 controllers and robot bodies is analysed and
                 discussed",
  notes =        "ICEC-96 Evolves controller for (simulated?) mobile
                 robot

                 ",
}

Genetic Programming entries for Wei-Po Lee John Hallam Henrik Hautop Lund