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.
Computational Principles of Mobile Robotics
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"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
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
Book Description
This textbook for advanced undergraduates and graduate students emphasizes computation and 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. This second edition presents advances in robotics and intelligent machines over the last ten years and includes additional mathematical background and an extensive list of sample problems.
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1 of 1 people found the following review helpful
Format:Paperback
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.
1 of 1 people found the following review helpful
Format:Paperback
This is a great robotics book for beginners, spanning through all relevant subjects (navigation, steering, sensors, environment, planning, etc.) with sufficient depth to satisfy and, hopefully, appeal to anyone new to this field.
1 of 1 people found the following review helpful
Format:Paperback
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.
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Most recent customer reviews
1.0 out of 5 stars
Too general
This book is too general. It's like a 'review' of techniques used, methods in robotics etc. Furthermore, you need other books to be able to help you to understand what it's talking... Read more
Published on Aug 2 2002
5.0 out of 5 stars
Excellent mobile robotics textbook
This book provides a solid and fairly comprehensive coverage of mobile robotics including both basic mobile platforms, sensor systems, computational vision, method for reasoning... Read more
Published on Sep 23 2001 by Henrik I. Christensen
5.0 out of 5 stars
Great book in Robotics
This book covers the field of mobile robotics, providing both historical references and cutting edge information. Read more
Published on May 18 2000 by Ioannis Rekleitis
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