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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