Intelligent Mobile Robot Navigation by Federico CuestaIntelligent Mobile Robot Navigation by Federico Cuesta

Intelligent Mobile Robot Navigation

byFederico Cuesta, Aníbal Ollero

Paperback | October 22, 2010

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Intelligent Mobile Robot Navigationbuilds upon the application of fuzzy logic to the area of intelligent control of mobile robots. Reactive, planned, and teleoperated techniques are considered, leading to the development of novel fuzzy control systems for perception and navigation of nonholonomic autonomous vehicles. The unique feature of this monograph lies in its comprehensive treatment of the problem, from the theoretical development of the various schemes down to the real-time implementation of algorithms on mobile robot prototypes. As such, the book spans different domains ranging from mobile robots to intelligent transportation systems, from automatic control to artificial intelligence.

Title:Intelligent Mobile Robot NavigationFormat:PaperbackDimensions:204 pagesPublished:October 22, 2010Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642063020

ISBN - 13:9783642063022


Table of Contents

Fuzzy Systems and Stability Analysis.- Bifurcations in Simple Takagi-Sugeno Fuzzy Systems:- Intelligent Control of Mobile Robots with Fuzzy Perception.- On the Stability of Mobile Robots with Fuzzy Reactive Navigation.- Intelligent System for Parallel Parking of Cars and Tractor-Trailers.- A. Adaptation of Conventional Electrical Vehicles.

Editorial Reviews

From the reviews:"The book Intelligent Mobile Robot Navigation, by Federico Cuesta and Anibal Ollero is a monograph on fuzzy logic and intelligent control applied to mobile robot perception and navigation. For its clear and comprehensive presentation, it is an excellent text for students and researchers in advanced robotics and nonlinear systems. . the book can serve as an instructive source of expertise on the field, useful for postgraduate students, engineers and researchers in this area." (Antonio Barreiro Blas, International Journal of Robust and Nonlinear Control, Vol. 17, 2007)