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.