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Fuzzy Logic Techniques for Autonomous Vehicle Navigation (Studies in Fuzziness and Soft Computing) (Studies in Fuzziness and Soft Computing, 61, Band 61)
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Fuzzy Logic Techniques for Autonomous Vehicle Navigation (Studies in Fuzziness and Soft Computing) (Studies in Fuzziness and Soft Computing, 61, Band 61) - Paperback

2010, ISBN: 9783790824797

Physica, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 2001, 404 Seiten, Publiziert: 2010-10-21T00:00:01Z, Produktgruppe: Buch, 0.57 kg, Management, Business & Karriere, Ka… More...

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Fuzzy Logic Techniques for Autonomous Vehicle Navigation (Studies in Fuzziness and Soft Computing) (Studies in Fuzziness and Soft Computing, 61, Band 61)
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Fuzzy Logic Techniques for Autonomous Vehicle Navigation (Studies in Fuzziness and Soft Computing) (Studies in Fuzziness and Soft Computing, 61, Band 61) - Paperback

2010, ISBN: 9783790824797

Physica, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 2001, 404 Seiten, Publiziert: 2010-10-21T00:00:01Z, Produktgruppe: Buch, 0.57 kg, Management, Business & Karriere, Ka… More...

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Fuzzy Logic Techniques for Autonomous Vehicle Navigation - Saffiotti, Alessandro (Herausgeber); Driankov, Dimiter (Herausgeber)
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Saffiotti, Alessandro (Herausgeber); Driankov, Dimiter (Herausgeber):
Fuzzy Logic Techniques for Autonomous Vehicle Navigation - Paperback

2010

ISBN: 3790824798

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Softcover reprint of hardcover 1st ed. 2001 Kartoniert / Broschiert Management und Managementtechniken, Ingenieurswesen, Maschinenbau allgemein, Künstliche Intelligenz, autonomousrobot;… More...

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Fuzzy Logic Techniques for Autonomous Vehicle Navigation - Saffiotti, Alessandro (Herausgeber); Driankov, Dimiter (Herausgeber)
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Saffiotti, Alessandro (Herausgeber); Driankov, Dimiter (Herausgeber):
Fuzzy Logic Techniques for Autonomous Vehicle Navigation - Paperback

2010, ISBN: 3790824798

Hardcover

Softcover reprint of hardcover 1st ed. 2001 Kartoniert / Broschiert Management und Managementtechniken, Ingenieurswesen, Maschinenbau allgemein, Künstliche Intelligenz, Control; Design;… More...

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Fuzzy Logic Techniques for Autonomous Vehicle Navigation - Saffiotti, Alessandro (Herausgeber); Driankov, Dimiter (Herausgeber)
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Saffiotti, Alessandro (Herausgeber); Driankov, Dimiter (Herausgeber):
Fuzzy Logic Techniques for Autonomous Vehicle Navigation - Paperback

2010, ISBN: 3790824798

Hardcover

Softcover reprint of hardcover 1st ed. 2001 Kartoniert / Broschiert Management und Managementtechniken, Ingenieurswesen, Maschinenbau allgemein, Künstliche Intelligenz, autonomousrobot;… More...

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Fuzzy Logic Techniques for Autonomous Vehicle Navigation (Studies in Fuzziness and Soft Computing) (Studies in Fuzziness and Soft Computing, 61, Band 61)
Author:
Title:
ISBN:

9783790824797


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.

Details of the book - Fuzzy Logic Techniques for Autonomous Vehicle Navigation (Studies in Fuzziness and Soft Computing) (Studies in Fuzziness and Soft Computing, 61, Band 61)


EAN (ISBN-13): 9783790824797
ISBN (ISBN-10): 3790824798
Hardcover
Paperback
Publishing year: 2010
Publisher: Driankov, Dimiter, Physica
404 Pages
Weight: 0,608 kg
Language: eng/Englisch

Book in our database since 2011-07-15T08:26:20+01:00 (London)
Detail page last modified on 2023-11-12T04:10:39+00:00 (London)
ISBN/EAN: 9783790824797

ISBN - alternate spelling:
3-7908-2479-8, 978-3-7908-2479-7
Alternate spelling and related search-keywords:
Book author: saffi, saff, driankov, dimiter, alessandro
Book title: navigation, fuzzy logic

Information from Publisher

Author: Dimiter Driankov; Alessandro Saffiotti
Title: Studies in Fuzziness and Soft Computing; Fuzzy Logic Techniques for Autonomous Vehicle Navigation
Publisher: Physica; Physica
393 Pages
Publishing year: 2010-10-21
Heidelberg; DE
Printed / Made in
Weight: 0,617 kg
Language: English
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
VIII, 393 p.

BC; Engineering Economics, Organization, Logistics, Marketing; Hardcover, Softcover / Technik/Allgemeines, Lexika; Ingenieurswesen, Maschinenbau allgemein; Verstehen; Navigation; autonomous robot; behavior; control; design; environment; fuzzy; fuzzy control; fuzzy logic; logic; mobile robot; modeling; robot; robotics; sensor; Engineering Economics; Control, Robotics, Mechatronics; Artificial Intelligence; Industrial Management; Control, Robotics, Automation; Artificial Intelligence; Management und Managementtechniken; Regelungstechnik; Künstliche Intelligenz; BB

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.

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