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Probabilistic Robotics
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A robot is an uncertainty machine: its perception and decision-making capabilities must embed at their core the processes dealing with uncertainty. The book is an essential reference for the student, the teacher, and the researcher to understand the basics and the advanced methods of estimation theory, and the probabilistic models and processes underlying robot localization, SLAM, and decion making. A 'muust have' textbook! -- Raja Chatila, LAAS-CNRS, France 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 California

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. Ronald C. Arkin is Professor and Director of the Mobile Robot Laboratory, College of Computing, Georgia Institute of Technology.

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"*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.

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