Sound localization for a humanoid robot by means of Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@MastersThesis{Karlsson:mastersthesis,
  author =       "Rikard Karlsson",
  title =        "Sound localization for a humanoid robot by means of
                 Genetic Programming",
  school =       "Complex Systems Group, Chalmers University of
                 Technology",
  year =         "1998",
  address =      "S-41296, G{\"{o}}teborg, Sweden",
  month =        dec,
  email =        "nordin,tfemn@fy.chalmers.se",
  keywords =     "genetic algorithms, genetic programming, Elvis",
  size =         "pages",
  abstract =     "A linear GP system has been used to solve the problem
                 of sound localization for an autonomous humanoid robot,
                 with two microphones functioning as ears. To determine
                 the angle to a sound source a genetically evolved
                 program was used in a loop over a stereo sample stream,
                 where the genetic program gets the latest sample pair
                 plus feedback from the previous run as input. The
                 precision of the evolved genetic programs was largely
                 dependent on the experimental setup. When training on a
                 sawtooth wave from a fixed distance the smallest
                 standard deviation of the error was 8 degrees. After
                 letting the distance to the same sound source vary the
                 standard deviation of the error was 23 degrees. With a
                 human voice as sound source at varying distances the
                 standard deviation of the error was up to 41 degrees.",
  notes =        "See also \cite{karlsson:2000:slhrGP}",
}

Genetic Programming entries for Rikard Karlsson

Citations