Developing Mobile Robot Wall-Following Algorithms Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@Article{dain:1998:GPmrwfa,

• author = "Robert A. Dain",
• title = "Developing Mobile Robot Wall-Following Algorithms Using Genetic Programming",
• journal = "Applied Intelligence",
• year = "1998",
• volume = "8",
• number = "5",
• pages = "33--41",
• month = jan,
• keywords = "genetic algorithms, genetic programming, computational genetics, machine learning, adaptive systems",
• ISSN = "0924-669X",
• DOI = "doi:10.1023/A:1008216530547",
• size = "9 pages",
• 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.",
• notes = "Special Issues on Evolutionary Learning, Xin Yao and Don Potter, Guest Editors",

}

Genetic Programming entries for Robert A Dain

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