Probabilistic Robotics

Sebastian Thrun

ISBN 10: 0262201623 / ISBN 13: 9780262201629

Published by MIT Press Ltd, 2005

About this Item

2005. Hardcover. An introduction to the techniques and algorithms of the newest field in robotics. Series: Intelligent Robotics & Autonomous Agents Series. Num Pages: 672 pages, Illustrations. BIC Classification: TJFM1; UYQ. Category: (P) Professional & Vocational. Dimension: 239 x 213 x 39. Weight in Grams: 1368. . . . . . Books ship from the US and Ireland.

Seller Inventory # V9780262201629

Bibliographic Details

• Title: Probabilistic Robotics
• Publisher: MIT Press Ltd
• Publication Date: 2005
• Language: English
• ISBN 10: 0262201623
• ISBN 13: 9780262201629
• Binding: Hardcover
• Condition: New

About this title

Synopsis

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.

About the Author

Sebastian Thrun is Associate Professor in the Computer Science Department at Stanford University and Director of the Stanford AI Lab.

Wolfram Burgard is Professor of Computer Science and Head of the research lab for Autonomous Intelligent Systems at the University of Freiburg.

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