Sound localization for a humanoid robot by means of Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8120
- @MastersThesis{Karlsson:mastersthesis,
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author = "Rikard Karlsson",
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title = "Sound localization for a humanoid robot by means of
Genetic Programming",
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school = "Complex Systems Group, Chalmers University of
Technology",
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year = "1998",
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address = "S-41296, G{\"{o}}teborg, Sweden",
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month = dec,
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email = "nordin,tfemn@fy.chalmers.se",
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keywords = "genetic algorithms, genetic programming, Elvis",
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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.",
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notes = "See also \cite{karlsson:2000:slhrGP}",
- }
Genetic Programming entries for
Rikard Karlsson
Citations
