Probabilistic Robotics

Nonfiction, Science & Nature, Technology, Robotics
Cover of the book Probabilistic Robotics by Sebastian Thrun, Wolfram Burgard, Dieter Fox, The MIT Press
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Author: Sebastian Thrun, Wolfram Burgard, Dieter Fox ISBN: 9780262303804
Publisher: The MIT Press Publication: August 19, 2005
Imprint: The MIT Press Language: English
Author: Sebastian Thrun, Wolfram Burgard, Dieter Fox
ISBN: 9780262303804
Publisher: The MIT Press
Publication: August 19, 2005
Imprint: The MIT Press
Language: English

An introduction to the techniques and algorithms of the newest field in 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

An introduction to the techniques and algorithms of the newest field in 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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