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Computational Principles of Mobile Robotics

2nd Edition


  • Date Published: October 2010
  • availability: Available
  • format: Paperback
  • isbn: 9780521692120

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About the Authors
  • 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. This edition includes advances in robotics and intelligent machines over the ten years prior to publication, 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

    '… a good synthesis of robotics for computer science people, and is a useful tool for approaching the area.' Computing Reviews

    '… clearly presents the range of topics covered in this multidisciplinary field.' Industrial Robot

    'This book is an indispensable tool for any - both pre-university and university - course on mobile robotics. It covers the main topics related to any mobile robotic system, including hardware (locomotion and communication), sensors, navigation, path planning, mapping, and localization.' Ramon Gonzalez Sanchez, University of Almeria

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    Product details

    • Edition: 2nd Edition
    • Date Published: October 2010
    • format: Paperback
    • isbn: 9780521692120
    • length: 406 pages
    • dimensions: 251 x 178 x 23 mm
    • weight: 0.7kg
    • 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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