Evolving an Environment Model for Robot Localization
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{ebner:1999:eemrl,
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author = "Marc Ebner",
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title = "Evolving an Environment Model for Robot Localization",
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booktitle = "Genetic Programming, Proceedings of EuroGP'99",
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year = "1999",
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editor = "Riccardo Poli and Peter Nordin and
William B. Langdon and Terence C. Fogarty",
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volume = "1598",
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series = "LNCS",
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pages = "184--192",
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address = "Goteborg, Sweden",
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publisher_address = "Berlin",
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month = "26-27 " # may,
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organisation = "EvoNet",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming: Poster",
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ISBN = "3-540-65899-8",
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URL = "http://wwwi2.informatik.uni-wuerzburg.de/mitarbeiter/ebner/research/publications/uniTu/gplocstat.ps.gz",
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URL = "http://citeseer.ist.psu.edu/395304.html",
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DOI = "doi:10.1007/3-540-48885-5_15",
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size = "9 pages",
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abstract = "The use of an evolutionary method for robot
localization is explored. We use genetic programming to
evolve an inverse function mapping sensor readings to
robot locations. This inverse function is an internal
model of the environment. The robot senses its
environment using dense distance information which may
be obtained from a laser range finder. Moments are
calculated from the distance distribution. These
moments are used as terminal symbols in the evolved
function. Arithmetic, trigonometric functions and a
conditional statement are used as primitive functions.
Using this representation we evolved an inverse
function to localize a robot in a simulated office
environment. We also analyzed the accuracy of the
resulting function. This research was done at the
University of Tuebingen, Wilhelm-Schickard-Institute
for Computer Science, Computer Architecture (Prof.
Zell).",
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notes = "EuroGP'99, part of \cite{poli:1999:GP}",
- }
Genetic Programming entries for
Marc Ebner
Citations