Applying Genetic Programming to Evolve Behavior Primitives and Arbitrators for Mobile Robots

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@InProceedings{lee:1997:aGPebpamr,
  author =       "Wei-Po Lee and John Hallam and Henrik Hautop Lund",
  title =        "Applying Genetic Programming to Evolve Behavior
                 Primitives and Arbitrators for Mobile Robots",
  booktitle =    "Proceedings of IEEE 4th International Conference on
                 Evolutionary Computation",
  year =         "1997",
  volume =       "1",
  pages =        "501--506",
  address =      "Indianapolis, USA",
  month =        "13-16 " # apr,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-7803-3949-5",
  URL =          "ftp://ftp.daimi.au.dk/pub/stud/hhl/ebbicec97.ps.Z",
  URL =          "http://www.dai.ed.ac.uk/pub/daidb/papers/rp832.ps.gz",
  DOI =          "doi:10.1109/ICEC.1997.592362",
  URL =          "http://citeseer.ist.psu.edu/lee97applying.html",
  size =         "6 pages",
  abstract =     "The behaviour-based approach has been successfully
                 applied to designing robot control systems. This paper
                 presents our work, based on evolutionary algorithms, to
                 program behavior-based robots automatically. Instead of
                 hand-coding all the behaviour controllers or evolving
                 an entire control system for an overall task, we
                 suggest our approach at the intermediate level: it
                 includes evolving behaviour primitives and behaviour
                 arbitrators for a mobile robot to achieve the specified
                 tasks. To examine the developed approach, we evolve a
                 control system for a moderately complicated box-pushing
                 task as an example. We first evolved the controllers in
                 a simulation and then transferred them to the Khepera
                 miniature robot. Experimental results show the promise
                 of our approach, and the evolved controllers are
                 transferred to the real robot without loss of
                 performance",
  notes =        "Khepera. Division of Informatics, Research Paper #832,
                 Edinburgh University",
}

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

Citations