En
English

Probabilistic Robotics Hardcover English by Wolfram Burgard - 1-Oct-05

Recommend
0 %
Authors Estimates
0
1
0
2
0
3
0
4
0
5
Sort by
Rating
Date
Specifications
Author 1
Wolfram Burgard
Book Description
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 probabilistic-robotics , 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.
ISBN-10
262201623
ISBN-13
9.78026E+12
Language
English
Publisher
MIT Press Ltd
Publication Date
1-Oct-05
Number of Pages
672
About the Author
Sebastian Thrun is Associate Professor in the Computer Science Department at Stanford University and Director of the Stanford AI Lab. Wolfram Burgard is Professor of Computer Science and Head of the research lab for Autonomous Intelligent Systems at the University of Freiburg. Dieter Fox is Associate Professor of Computer Science at the University of Washington. Ronald C. Arkin is Professor and Director of the Mobile Robot Laboratory, College of Computing, Georgia Institute of Technology.
Author 2
Dieter Fox
Author 3
Sebastian Thrun
Editorial Review
*Probabilistic Robotics* is a tour de force, replete with material for students and practitioners alike.--Gaurav S. Sukhatme, Associate Professor of Computer Science and Electrical Engineering, University of Southern California