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Computational Principles of Mobile Robotics

2nd Edition

$149.00 (X)

  • Date Published: July 2010
  • availability: Available
  • format: Hardback
  • isbn: 9780521871570

$ 149.00 (X)

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About the Authors
  • 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.

    • Describes a methodology for the analysis of data and planning of experiments
    • Combines solid, well-known, results in algebra and statistics into a systematic, step-by-step method
    • Leads to descriptive, inferential, and broadly qualitative analysis of the experimental results
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    Reviews & endorsements

    "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

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    Product details

    • Edition: 2nd Edition
    • Date Published: July 2010
    • format: Hardback
    • isbn: 9780521871570
    • length: 406 pages
    • dimensions: 254 x 178 x 24 mm
    • weight: 0.92kg
    • contains: 243 b/w illus. 6 tables 96 exercises
    • availability: Available
  • Table of Contents

    1. Overview and motivation
    2. Fundamental problems
    Part I. Locomotion and Perception:
    3. Mobile robot hardware
    4. Non-visual sensors and algorithms
    5. Visual sensors and algorithms
    Part II. Representation and Planning:
    6. Representing and reasoning about space
    7. System control
    8. Pose maintenance and localization
    9. Mapping and related tasks
    10. Robot collectives
    11. Robots in practice
    12. The future of mobile robotics
    Appendix A. Probability and statistics
    Appendix B. Linear systems, matrices and filtering
    Appendix C. Markov models.

  • Authors

    Gregory Dudek, McGill University, Montréal
    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, York University, Toronto
    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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