Bookbot

Probabilistic Robotics

Ocena książki

Więcej o książce

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 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.

Zakup książki

Probabilistic Robotics, Sebastian Thrun, Wolfram Burgard, Dieter Fox

Język
Rok wydania
2005
Oprawa
(twarda)
Jak tylko się pojawi, wyślemy Ci wiadomość e-mail.

Metody płatności

4,6
Doskonała
203 Ocena

Brakuje nam tutaj Twojej recenzji.

Tytuł
Probabilistic Robotics
Język
angielski
Wydawca
MIT Press
Rok wydania
2005
Oprawa
twarda
ISBN10
0262201623
ISBN13
9780262201629
Seria
Ocena
4,6 z 5
Opis
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 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.