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Probabilistic robotics
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Probabilistic robotics

Author: Sebastian Thrun; Wolfram Burgard; Dieter Fox
Publisher: Cambridge, Mass. : MIT Press, ©2005.
Series: Intelligent robotics and autonomous agents.
Edition/Format:   Book : EnglishView all editions and formats
Summary:
Probablistic robotics is a growing area in the subject, concerned with perception and control in the face of uncertainty and giving robots a level of robustness in real-world situations. This book introduces techniques and algorithms in the field.
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Sebastian Thrun; Wolfram Burgard; Dieter Fox
ISBN: 0262201623 9780262201629
OCLC Number: 58451645
Description: xx, 647 p. : ill. ; 24 cm.
Contents: Recursive state estimation --
Gaussian filters --
Robot motion --
Robot perception --
Mobile robot localization : Markov and Gaussian --
Mobile robot localization : grid and Monte Carlo --
Occupancy grid mapping --
Simultaneous localization and mapping --
The graphSLAM algorithm --
The sparse extended information filter --
The fastSLAM algorithm --
Markov decision processes --
Partially observable Markov decision processes --
Approximate POMDP techniques --
Exploration.
Series Title: Intelligent robotics and autonomous agents.
Responsibility: Sebastian Thrun, Wolfram Burgard, Dieter Fox.

Abstract:

An introduction to the techniques and algorithms of the newest field in robotics.  Read more...

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"*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, Read more...

 
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