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Fuzzy Logic Techniques for Autonomous Vehicle Navigation
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-9477-4044
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0001-8229-1363
2001 (English)Collection (editor) (Refereed)
Abstract [en]

The goal of autonomous mobile robotics is to build and control physical systems which can move purposefully and without human intervention in real-world environments which have not been specifically engineered for the robot. The development of techniques for autonomous mobile robot operation constitutes one of the major trends in the current research and practice in modern robotics. This volume presents a variety of fuzzy logic techniques which address the challenges posed by autonomous robot navigation. The focus is on four major problems: how to design robust behavior-producing control modules; how to use data from sensors for the purpose of environment modeling; and how to integrate high-level reasoning and low-level behavior execution. In this volume state-of-the-art fuzzy logic solutions are presented and their pros and cons are discussed in detail based on extensive experimentation on real mobile robots.

Place, publisher, year, edition, pages
Physica Verlag, 2001. , 393 p.
Series
Studies in Fuzziness and Soft Computing, ISSN 1434-9922 ; 61
Keyword [en]
autonomous robots, fuzzy logic, fuzzy control
National Category
Engineering and Technology
Research subject
Computer Engineering; Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-42519ISBN: 978-3-7908-1835-2 (print)OAI: oai:DiVA.org:oru-42519DiVA: diva2:786822
Available from: 2015-02-06 Created: 2015-02-06 Last updated: 2017-10-17Bibliographically approved

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