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Probabilistic Robotics
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.
672 pages, Hardcover
First published September 1, 2005
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Displaying 1 - 7 of 7 reviews
December 25, 2010
I lost my first copy of this book and liked it enough to get another, so I guess I must think it's pretty good.
The main topic is the robotic task of Simultaneous Localization and Mapping (SLAM) and all of the (various) subproblems therein. I find it does a very good job of explaining the basic approaches and their building blocks (e.g. Kalman filters, particle filters) and gives a good foundation for reading more recent work.
The main topic is the robotic task of Simultaneous Localization and Mapping (SLAM) and all of the (various) subproblems therein. I find it does a very good job of explaining the basic approaches and their building blocks (e.g. Kalman filters, particle filters) and gives a good foundation for reading more recent work.
June 6, 2016
The bible of modern robotics.
January 17, 2023
The best book right now for roboticists and decision making data scientists alike
December 18, 2022
Great book, with clear and full mathematical explanations of complex topics. It is still recommended after 17 years of publishing. Although some topics are a bit outdated, most are fundamental stuff that will outlive the authors.
December 1, 2022
Really quite excellent textbook on a challenging topic. Author does a wonderful job presenting challenging material in a (relatively) easy-to-consume manner.
October 31, 2012
Clear and practical: enthusiastically written.
October 29, 2019
It is a good book for the global planner.
Displaying 1 - 7 of 7 reviews
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