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Probabilistic Robotics by Sebastian Thrun

Probabilistic Robotics

Sebastian Thrun, Wolfram Burgard, Dieter Fox

MIT Press · Print & ebook · August 19, 2005

A Engineering pick for readers exploring Probabilistic Robotics.

AI & Machine LearningBayesian AnalysisRoboticsthriller
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Who it’s for
Probabilistic robotics connects statistical foundations with techniques for perception and control under uncertainty.
Themes
Probabilistic robotics, Perception and control under uncertainty, Robustness in real-world robotics
Genres
Robotics, AI & Machine Learning, Bayesian Analysis

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About this book

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.

Continue reading

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.

Robotics Under Uncertainty

Probabilistic robotics connects statistical foundations with techniques for perception and control under uncertainty.

Come here for

  • Techniques and algorithms for robotic perception and control under uncertainty
  • Pseudo-code examples and mathematical derivations

Expect

  • Practitioner perspectives and exercises
  • Class projects and additional material on the book’s website

Where it sits

Robotics97%
AI & Machine Learning56%
Bayesian Analysis47%

Percentages are BookFrontier’s reading of the book.

Publisher categories

  • Algorithms
  • Probability & Statistics
  • Robotics
Authors
Sebastian Thrun, Wolfram Burgard, Dieter Fox
Publisher
MIT Press
Published
August 19, 2005
Format
Print & ebook
Theme
Probabilistic robotics · Perception and control under uncertainty · Robustness in real-world robotics
Reading lane
Algorithms