Gregory Dudek, Michael Jenkin

Computational Principles of Mobile Robotics

• Broschiertes Buch

Produktbeschreibung

Now in its third edition, this textbook is a comprehensive introduction to the multidisciplinary field of mobile robotics, which lies at the intersection of artificial intelligence, computational vision, and traditional robotics. Written for advanced undergraduates and graduate students in computer science and engineering, the book covers algorithms for a range of strategies for locomotion, sensing, and reasoning. The new edition includes recent advances in robotics and intelligent machines, including coverage of human-robot interaction, robot ethics, and the application of advanced AI techniques to end-to-end robot control and specific computational tasks. This book also provides support for a number of algorithms using ROS 2, and includes a review of critical mathematical material and an extensive list of sample problems. 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
• 3., überarb. Aufl.
• Seitenzahl: 450
• Erscheinungstermin: 12. Januar 2024
• Englisch
• Abmessung: 254mm x 178mm x 25mm
• Gewicht: 840g
• ISBN-13: 9781108736381
• ISBN-10: 1108736386
• Artikelnr.: 69123498

Autorenporträt

Gregory Dudek is Distinguished James McGill Professor of Computer Science at McGill University. He is also a member of the Center for Intelligent Machines, and associate member of Mila, and has been co-author of over 300 refereed publications on robotics, machine learning and computer vision. He has also served as a Vice President with Samsung Electronics and founding Lab Head for the Samsung AI Center in Montreal, Canada. With Michael Jenkin, he has played many roles in the field including co-founding Independent Robotics Inc, and established the Canadian Robotics Research Network.

Inhaltsangabe

Acknowledgments; Preface; 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. Deep learning for robots; 7. Planning in, representing and reasoning about space; 8. System control; 9. Pose maintenance and localization; 10. Mapping and related tasks; 11. Robot collectives; 12. Human-robot interaction; 13. Robot ethics; 14. Robots in practice; 15. The future of mobile robotics; Appendix A. Fictional robots; Appendix B. Probability and statistics; Appendix C. Linear systems, matrices and filtering; Appendix D. Markov models; Bibliography; Index.

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Acknowledgments
Preface
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. Deep learning for robots
7. Planning in, representing and reasoning about space
8. System control
9. Pose maintenance and localization
10. Mapping and related tasks
11. Robot collectives
12. Human-robot interaction
13. Robot ethics
14. Robots in practice
15. The future of mobile robotics
Appendix A. Fictional robots
Appendix B. Probability and statistics
Appendix C. Linear systems, matrices and filtering
Appendix D. Markov models
Bibliography
Index.

Rezensionen

'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