Probabilistic robotics /
Sebastian Thrun, Wolfram Burgard, Dieter Fox
- Intelligent Robotics and Autonomous Agents series Edition.
- Cambridge, Mass. : MIT Press, c2005
- xx, 647 p. : ill. ; 24 cm
- Intelligent robotics and autonomous agents .
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