Computational Principles of Mobile Robotics

Computational Principles of Mobile Robotics

by Gregory Dudek, Michael Jenkin
     
 
This is a superb textbook for advanced undergraduate and graduate students in the field of mobile robotics. With a special emphasis on computation and algorithms, Dudek and Jenkin address a range of strategies for enabling robots to master problems of navigation, pose estimation, and autonomous exploration. While they concentrate on wheeled and legged mobile robots,

Overview

This is a superb textbook for advanced undergraduate and graduate students in the field of mobile robotics. With a special emphasis on computation and algorithms, Dudek and Jenkin address a range of strategies for enabling robots to master problems of navigation, pose estimation, and autonomous exploration. While they concentrate on wheeled and legged mobile robots, they also discuss a variety of other propulsion systems with kinematic models developed for many of the more common locomotive strategies. Chapters present algorithms for both visual and nonvisual sensor technologies, including sonar, vision, and laser scanners. In the section on reasoning, the authors thoroughly examine the subject of planning and the issues related to spatial representation. A comprehensive overview of the field, Computational Principles of Mobile Robotics complements its discussion of state-of-the art methods with 139 illustrations of key current and historical technologies.

Editorial Reviews

Booknews
Canadian computer scientists Dudek (McGill U.) and Jenkin (York U.) examine how existing autonomous robot systems have approached the three tasks of moving, sensing, and reasoning out their environment. They emphasize the computational methods of programming robotics rather than the methods for constructing the hardware. Intended for graduate and advanced undergraduates in robotics. Annotation c. Book News, Inc., Portland, OR (booknews.com)
From the Publisher
"This book is an indispensable tool for any—both pre-university and university—course on mobile robotics. In relation to the first edition, this current one has been sufficiently updated. I recommend this book to researchers—particularly those who study localization or mapping—and doctoral students who are interested in investigating the latest approaches and techniques in the mobile robotics field."
RAMON GONZALEZ SANCHEZ, Computing Reviews

"This work (1st. ed., CH, Nov'00, 38-1584) became an immediate resource for this reviewer for both research and teaching purposes. In the multidisciplinary area of robotics, it is not uncommon to find textbooks that describe the algorithms involved in robotic control, perception, planning, etc., but fail to provide the reader with the critical details necessary for implementation. For the majority of topics, Dudek (McGill Univ., Canada) and Jenkin (York Univ., Canada) present the necessary math to perform the computation and in some cases also provide pseudocode. References are included throughout. The text really shines in its handling of algorithms for perception, sensor fusion, and path planning. The appendixes review probability, statistics, linear systems, filters, and Markov models, but not with enough depth to provide an introduction to someone new to any one of these topics. This work is a bit too advanced for an introductory course on robotics, but it would be a great resource for an intermediate or advanced course on mobile robotics."
R.S. STANSBURY, Embry-Riddle Aeronautical University

"...a great resource for an intermediate or advanced course on mobile robotics." CHOICE

Product Details

ISBN-13:
9780521560214
Publisher:
Cambridge University Press
Publication date:
02/28/2000
Pages:
294
Product dimensions:
6.97(w) x 9.96(h) x 0.91(d)

Related Subjects

Meet the Author

Gregory Dudek is Professor of Computer Science and Director of the School of Computer Science at McGill University. He holds a James McGill Chair and is a member of the Center for Intelligent Machines, and has been co-author of over 150 refereed publications on robotics and computer vision.

Michael Jenkin is a Professor of Computer Science and Engineering at York University. He has co-edited a series of eight books on human and machine vision.

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