ENGLISH

Fuzzy Logic Techniques for Autonomous Vehicle Navigation

By Alessandro Saffiotti (auth.) , Ass. Prof. Dr. Dimiter Driankov , Ass. Prof. Dr. Alessandro Saffiotti (eds.)

Book information

Publisher
Physica-Verlag Heidelberg
Year
2001
ISBN
978-3-7908-2479-7, 978-3-7908-1835-2
DOI
10.1007/978-3-7908-1835-2
Language
english
Format
PDF
Filesize
13 MB (13317112 bytes)
Series
Studies in Fuzziness and Soft Computing 61
Edition
1
Pages
393\387
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Engineering EconomicsLogisticsMarketing; ControlMechatronics; Artificial Intelligence (incl. RobotOrganizationRobotics

Description

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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