Gregory Dudek, Michael Jenkin

Computational Principles of Mobile Robotics

• Broschiertes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Cambridge University Press
• 2., überarb. Aufl.
• Seitenzahl: 406
• Erscheinungstermin: 26. Juli 2010
• Englisch
• Abmessung: 254mm x 178mm x 22mm
• Gewicht: 712g
• ISBN-13: 9780521692120
• ISBN-10: 0521692121
• Artikelnr.: 28027116

Autorenporträt

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.

Inhaltsangabe

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.

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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.

Rezensionen

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

'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