Probabilistic robotics
Material type: TextPublication details: London MIT Press 2006Description: xx., 647pISBN:- 9780262201629 (hb.)
- 629.892 THR
Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Book | Plaksha University Library | Technology | 629.892 THR (Browse shelf(Opens below)) | Available | 003885 | ||
Book | Plaksha University Library | Technology | 629.892 THR (Browse shelf(Opens below)) | Available | 003630 | ||
Book | Plaksha University Library | Engineering | 629.892 THR (Browse shelf(Opens below)) | Available | 002903 |
Browsing Plaksha University Library shelves, Collection: Engineering Close shelf browser (Hides shelf browser)
629.892 LYN Modern robotics : mechanics planning and control | 629.892 SIC Robotics : modelling, planning and control | 629.892 SIE Introduction to autonomous mobile robots | 629.892 THR Probabilistic robotics | 629.8932 DUD Computational principles of mobile robotics | 629.8932 DUD Computational principles of mobile robotics | 629.8932 DUD Computational principles of mobile robotics |
https://mitpress.mit.edu/books/probabilistic-robotics
Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.
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