An introduction to the techniques and algorithms of the newest field in robotics.
About the Author: Dieter Fox is Associate Professor of Computer Science at the University of Washington..
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. org, has additional material. probabilistic-robotics.
The book\'s Web site, www.
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.
An introduction to the techniques and algorithms of the newest field in robotics
