It will also be of interest to applied statisticians and engineers dealing with real-world sensor data. The book is relevant for anyone involved in robotic software development and scientific research. An introduction to the techniques and algorithms of the newest field in robotics. The book's Web site, has additional material. Sebastian Thrun, Wolfram Burgard, Dieter Fox. 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. All algorithms are based on a single overarching mathematical foundation. This book introduces the reader to a wealth of techniques and algorithms in the field. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty.
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