(Enter summary)
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,... (Update)
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BibTeX entry: (Update)
@inproceedings{ ebner99evolving,
author = "Marc Ebner",
title = "Evolving an Environment Model for Robot Localization",
booktitle = "Genetic Programming, Proceedings of EuroGP'99",
volume = "1598",
month = "26-27",
publisher = "Springer-Verlag",
address = "Goteborg, Sweden",
editor = "Riccardo Poli and Peter Nordin and William B. Langdon and Terence C. Fogarty",
isbn = "3-540-65899-8",
pages = "184--192",
year = "1999",
url = "citeseer.ist.psu.edu/395304.html" }
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Documents on the same site (http://www2.informatik.uni-wuerzburg.de/staff/ebner/research/publications.html): More
Evolution of a Control Architecture for a Mobile Robot - Ebner (1998)
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A Three-Dimensional Environment for Self-Reproducing Programs - Ebner
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How Neutral Networks Influence Evolvability - Ebner, Shackleton, Shipman (2001)
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