Developing Mobile Robot Wall-Following Algorithms Using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{dain:1998:GPmrwfa,
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author = "Robert A. Dain",
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title = "Developing Mobile Robot Wall-Following Algorithms
Using Genetic Programming",
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journal = "Applied Intelligence",
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year = "1998",
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volume = "8",
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number = "5",
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pages = "33--41",
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month = jan,
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keywords = "genetic algorithms, genetic programming, computational
genetics, machine learning, adaptive systems",
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ISSN = "0924-669X",
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DOI = "doi:10.1023/A:1008216530547",
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size = "9 pages",
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abstract = "This paper demonstrates the use of genetic programming
(GP) for the development of mobile robot wall-following
behaviours. Algorithms are developed for a simulated
mobile robot that uses an array of range finders for
navigation. Navigation algorithms are tested in a
variety of differently shaped environments to encourage
the development of robust solutions, and reduce the
possibility of solutions based on memorisation of a
fixed set of movements. A brief introduction to GP is
presented. A typical wall-following robot evolutionary
cycle is analysed, and results are presented. GP is
shown to be capable of producing robust wall-following
navigation algorithms that perform well in each of the
test environments used.",
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notes = "Special Issues on Evolutionary Learning, Xin Yao and
Don Potter, Guest Editors",
- }
Genetic Programming entries for
Robert A Dain
Citations