Computational Principles of Mobile Robotics
 
A termék adatai:

ISBN13:9781108736381
ISBN10:1108736386
Kötéstípus:Puhakötés
Terjedelem:450 oldal
Méret:254x175x24 mm
Súly:830 g
Nyelv:angol
787
Témakör:

Computational Principles of Mobile Robotics

 
Kiadás sorszáma: 3, Revised
Kiadó: Cambridge University Press
Megjelenés dátuma:
 
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GBP 49.99
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24 145 Ft (22 995 Ft + 5% áfa)
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21 730 (20 696 Ft + 5% áfa )
Kedvezmény(ek): 10% (kb. 2 415 Ft)
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  példányt

 
Rövid leírás:

A graduate textbook providing a comprehensive introduction to mobile robotics, with hands-on examples in ROS 2.

Hosszú leírás:
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.

'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
Tartalomjegyzék:
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.