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Mobile robotics is a multidisciplinary field involving both computer science and engineering. Addressing the design of automated systems, it lies at the intersection of artificial intelligence, computational vision, and robotics. This textbook for advanced undergraduates and graduate students emphasizes algorithms for a range of strategies for locomotion, sensing, and reasoning. It concentrates on wheeled and legged mobile robots but discusses a variety of other propulsion systems. The new edition includes advances in robotics and intelligent machines over the last ten years, including significant coverage of SLAM (simultaneous localization and mapping) and multi-robot systems. It includes additional mathematical background and an extensive list of sample problems. Various mathematical techniques that were assumed in the first edition are now briefly introduced in appendices at the end of the text to make the book more self-contained. Researchers as well as students in the field of mobile robotics will appreciate this comprehensive treatment of state-of-the-art methods and key technologies.
- Sales Rank: #607810 in Books
- Brand: Brand: Cambridge University Press
- Published on: 2010-07-26
- Original language: English
- Number of items: 1
- Dimensions: 9.96" h x .83" w x 8.46" l, 1.55 pounds
- Binding: Paperback
- 406 pages
- Used Book in Good Condition
Review
"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
About 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.
Most helpful customer reviews
12 of 12 people found the following review helpful.
A good and practical book
By Monica Stewart
This books is divided into three main parts: locomotion, sensing, and reasoning. That is lots to cover in a smallish book. I think the writers did a good job paring downing the information. There is enough information in all the sections to give a hobbyist robot builder like myself something to work with. At the same time, the book doesn't get bogged down with implimentation details. Some of you might not like that, especially if you are looking for a how-to book. This book will give, for example, some ideas for wheel arrangements for a robot, and some math that could prove useful for programming and design. The book does NOT give details about how to program, or how to attach wheels, etc.
This book might be scary for the math-phobic, but those of you who skip over the math in books should still find this book useful. Readers with a year of Calculus and some Linear Algebra will have no problems.
There are lots of robot designs discussed with some helpful (thought poorly reproduced) photographs. There is a brief historical background to the robotics field, and some thoughts about what future developments are needed to really make mobile robots useful and flexible devices.
And finally, there is a very large bibliography, and a good index.
10 of 10 people found the following review helpful.
Good general overview of computational robotics
By calvinnme
This is one of only two books that I know of that are dedicated to computational issues in robotics, the other one being "Introduction to Autonomous Mobile Robots". Both of these books are good and excel in certain areas. I think that this book's best chapters are the two on sensors and their algorithms. Both chapters have plenty of details and even some worked numerical examples. The first two chapters on locomotion and robot hardware are pretty good and do have some equations for deriving robot kinematics, but I think that the previously mentioned "Introduction to Autonomous Mobile Robots" does a slightly better job at presenting that material. Chapters 5 and 6 on "Representing and Reasoning About Space" and the "Operating Environment" are about AI and its uses in the mobile robot. They are an OK introduction, but to really understand this material it would be better to get a copy of "Artificial Intelligence: A Modern Approach", and read the relevant chapters in that book. The next two chapters on "Pose Maintenance" and "Maps and Related Tasks" are very good chapters. They go into some specifics on AI and robot design that I couldn't find in other books, and have quite a bit on the mathematics and algorithms involved. They go into particular detail on the Kalman Filter, but you will still need a more detailed source of information on that subject. I suggest "Poor Man's Explanation of Kalman Filtering: Or How I Stopped Worrying & Learned to Love Matrix Inversion", which is very inexpensive. If you can't find it on Amazon, you can try buying it directly from the publisher, Taygeta Scientific. The last two chapters are just essay-style material on the current and future uses of mobile robots.
To get the most out of this book you should already be familiar with statics, dynamics, image processing, computer vision, and the basics of AI. No book on robotics can take you from ground zero, teach you all of these subjects AND computational robotics too. The good books on robotics, of which this is one, show how all of the related disciplines are integrated into the design of a robot.
7 of 7 people found the following review helpful.
Comprehensive robotics text
By Nicholas G Roy
The book is an excellent comprehensive survey of the mobile robotics, especially for a reader interested developing new mobile robot hardware and software. The authors discuss most of the major research issues in mobile robotics in depth, including locomotion and control, sensing and state estimation, and planning algorithms. Additionally, many of the most successful techniques are covered in enough depth to act as a how-to for implementors. For example, a popular state estimation technique is the Kalman filter, which can be readily implemented directly from the description of the algorithm in the text.
This book distinguishes itself in that it focuses on the algorithms, and general lessons learned in designing robots, both hardware and software. Many robotics books get involved in the details of hardware and become obsolete at a rapid pace. This book should be very useful for the university classroom for quite some time.
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