Creation Of A Learning, Flying Robot By Means Of Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InProceedings{Augustsson:2002:gecco,
  author =       "Peter Augustsson and Krister Wolff and Peter Nordin",
  title =        "Creation Of {A} Learning, Flying Robot By Means Of
                 Evolution",
  booktitle =    "GECCO 2002: Proceedings of the Genetic and
                 Evolutionary Computation Conference",
  editor =       "W. B. Langdon and E. Cant{\'u}-Paz and K. Mathias and 
                 R. Roy and D. Davis and R. Poli and K. Balakrishnan and 
                 V. Honavar and G. Rudolph and J. Wegener and 
                 L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and 
                 E. Burke and N. Jonoska",
  year =         "2002",
  pages =        "1279--1285",
  address =      "New York",
  publisher_address = "San Francisco, CA 94104, USA",
  month =        "9-13 " # jul,
  publisher =    "Morgan Kaufmann Publishers",
  keywords =     "genetic algorithms, genetic programming, evolutionary
                 robotics, evolutionary algorithm, flying",
  ISBN =         "1-55860-878-8",
  URL =          "http://fy.chalmers.se/~wolff/Papers/ANW_gecco02.pdf",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-22.pdf",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2002/ROB196.ps",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2002/ROB196.pdf",
  size =         "7 pages",
  abstract =     "We demonstrate the first instance of a real on-line
                 robot learning to develop feasible flying (flapping)
                 behavior, using evolution. Here we present the
                 experiments and results of the first use of
                 evolutionary methods for a flying robot. With nature's
                 own method, evolution, we address the highly non-linear
                 fluid dynamics of flying. The flying robot is
                 constrained in a test bench where timing and movement
                 of wing flapping is evolved to give maximal lifting
                 force. The robot is assembled with standard
                 off-the-shelf R/C servomotors as actuators. The
                 implementation is a conventional steady-state linear
                 evolutionary algorithm.",
  notes =        "GECCO-2002. A joint meeting of the eleventh
                 International Conference on Genetic Algorithms
                 (ICGA-2002) and the seventh Annual Genetic Programming
                 Conference (GP-2002)

                 Winner of the best-paper award at GECCO-2002, in
                 Evolutionary Robotics.",
}

Genetic Programming entries for Peter Augustsson Krister Wolff Peter Nordin