Evolving an Environment Model for Robot Localization

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{ebner:1999:eemrl,

• author = "Marc Ebner",
• title = "Evolving an Environment Model for Robot Localization",
• booktitle = "Genetic Programming, Proceedings of EuroGP'99",
• year = "1999",
• editor = "Riccardo Poli and Peter Nordin and William B. Langdon and Terence C. Fogarty",
• volume = "1598",
• series = "LNCS",
• pages = "184--192",
• address = "Goteborg, Sweden",
• publisher_address = "Berlin",
• month = "26-27 " # may,
• organisation = "EvoNet",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming: Poster",
• ISBN = "3-540-65899-8",
• URL = "http://wwwi2.informatik.uni-wuerzburg.de/mitarbeiter/ebner/research/publications/uniTu/gplocstat.ps.gz",
• URL = "http://citeseer.ist.psu.edu/395304.html",
• DOI = "doi:10.1007/3-540-48885-5_15",
• size = "9 pages",
• 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).",
• notes = "EuroGP'99, part of \cite{poli:1999:GP}",

}

Genetic Programming entries for Marc Ebner

Citations