Intelligent Mobile Robot Navigation / Edition 1

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Overview

"Intelligent Mobile Robot Navigation" builds 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 across different domains ranging from mobile robots to intelligent transportation systems, from automatic control to artificial intelligence.
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Editorial Reviews

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"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)

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Product Details

  • ISBN-13: 9783540239567
  • Publisher: Springer Berlin Heidelberg
  • Publication date: 4/29/2005
  • Series: Springer Tracts in Advanced Robotics Series , #16
  • Edition description: 2005
  • Edition number: 1
  • Pages: 204
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.56 (d)

Table of Contents

1 Introduction 1
2 Fuzzy systems and stability analysis 7
3 Bifurcations in simple Takagi-Sugeno fuzzy systems 51
4 Intelligent control of mobile robots with fuzzy perception 79
5 On the stability of mobile robots with fuzzy reactive navigation 123
6 Intelligent system for parallel parking of cars and tractor-trailers 159
A Adaptation of conventional electrical vehicles 189
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