Gregory Dudek, Michael Jenkin

Computational Principles of Mobile Robotics

• Gebundenes Buch

Produktbeschreibung

"This text provides an exceptional introduction to the multidisciplinary field of mobile robotics using handson examples in ROS 2 enabling students to explore concepts either in a simulation or using their own robot hardware. The new edition includes coverage of HRI, robot ethics, and AI techniques for end-to-end robot control"--

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 450
• Erscheinungstermin: 12. Januar 2024
• Englisch
• Abmessung: 260mm x 183mm x 29mm
• Gewicht: 1037g
• ISBN-13: 9781108498470
• ISBN-10: 1108498477
• Artikelnr.: 69123884

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