Overview
- Presentation of state-of-the art fuzzy logic techniques used to solve the major problems in autonomous robot navigation
- Reproducibility of proposed solutions by the reader
- Discussion of pros and cons of using fuzzy logic techniques on the basis of extensive experimentation on real mobile robots
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 61)
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Table of contents (15 chapters)
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Tutorials
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Design of Individual Behaviors
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Coordination of Behavior
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Layer Integration
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Fuzzy Logic Techniques for Autonomous Vehicle Navigation
Editors: Dimiter Driankov, Alessandro Saffiotti
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-7908-1835-2
Publisher: Physica Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2001
Hardcover ISBN: 978-3-7908-1341-8Published: 10 January 2001
Softcover ISBN: 978-3-7908-2479-7Published: 21 October 2010
eBook ISBN: 978-3-7908-1835-2Published: 09 March 2013
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: VIII, 393
Topics: Engineering Economics, Organization, Logistics, Marketing, Control, Robotics, Mechatronics, Artificial Intelligence