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, http://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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