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Probabilistic robotics / Sebastian Thrun, Wolfram Burgard, Dieter Fox

By: Contributor(s): Material type: TextSeries: 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): DDC 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
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
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books Centeral Library Second Floor - Computer Sciences 006.3 T.S.P 2005 (Browse shelf(Opens below)) Available 26422
Books Centeral Library Second Floor - Computer Sciences 006.3 T.S.P 2005 (Browse shelf(Opens below)) Available 24505
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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