Probabilistic Robotics

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Sebastian Thrun (Stanford University) Wolfram Burgard (Professor, Albert-Ludwigs-University Freiburg)

Probabilistic Robotics

Sebastian Thrun (Stanford University), Wolfram Burgard (Professor, Albert-Ludwigs-University Freiburg), Dieter Fox (Associate Professor, University of Washington)

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English

Massachusetts Inst of Tec
19 August 2005

Mathematics & Sciences; Robotics; Artificial intelligence

Series: Probabilistic Robotics

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.

By: Sebastian Thrun (Stanford University), Wolfram Burgard (Professor, Albert-Ludwigs-University Freiburg), Dieter Fox (Associate Professor, University of Washington)
Imprint: Massachusetts Inst of Tec
Country of Publication: United States
Dimensions: Height: 229mm, Width: 203mm, Spine: 29mm
Weight: 1.361kg
ISBN: 9780262201629
ISBN 10: 0262201623
Series: Probabilistic Robotics
Pages: 668
Publication Date: 19 August 2005
Recommended Age: From 18 years
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Dieter Fox is Associate Professor of Computer Science at the University of Washington.

Reviews for Probabilistic Robotics

""*Probabilistic Robotics* is a tour de force, replete with material for students and practitioners alike.""--Gaurav S. Sukhatme, Associate Professor of Computer Science and Electrical Engineering, University of Southern CaliforniaPlease note: Arrived too late to appear on book jacket.