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Probabilistic robotics / Sebastian Thrun, Wolfram Burgard, Dieter Fox

By: Thrun, Sebastian, 1967-Contributor(s): Burgard, Wolfram | Fox, DieterMaterial type: TextTextSeries: Intelligent robotics and autonomous agentsPublication details: Cambridge, Mass. : MIT Press, c2005Edition: Intelligent Robotics and Autonomous Agents series EditionDescription: xx, 647 p. : ill. ; 24 cmISBN: 0262201623 (alk. paper); 9780262201629 (alk. paper)Subject(s): Robotics | ProbabilitiesDDC classification: 006.3
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
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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Holdings
Item type Current library Call number Status Date due Barcode
Books Books Centeral Library
Second Floor - Computer Sciences
006.3 T.S.P 2005 (Browse shelf (Opens below)) Available 26422
Books Books Centeral Library
Second Floor - Computer Sciences
006.3 T.S.P 2005 (Browse shelf (Opens below)) Available 24505
Books Books Centeral Library
Second Floor - Computer Sciences
006.3 T.S.P 2005 (Browse shelf (Opens below)) Available 24504

Includes bibliographical references (p. [607]-638) and index

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

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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