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Computational Principles of Mobile Robotics
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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.

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.

Reviews

'... 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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