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Environment Learning for Indoor Mobile Robots - A Stochastic State Estimation Approach to Simultaneous Localization and Map Building (Hardcover, 2006 ed.)
Juan Andrade-Cetto, Alberto SanfeliuThis monograph covers theoretical aspects of simultaneous localization and map building for mobile robots. These include estimation stability, nonlinear models for the propagation of uncertainties, temporal landmark compatibility, as well as issues pertaining the coupling of control and SLAM. One of the most relevant topics covered in this monograph is the theoretical formalism of partial observability in SLAM.
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This monograph covers theoretical aspects of simultaneous localization and map building for mobile robots. These include estimation stability, nonlinear models for the propagation of uncertainties, temporal landmark compatibility, as well as issues pertaining the coupling of control and SLAM. One of the most relevant topics covered in this monograph is the theoretical formalism of partial observability in SLAM.
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Product Details
General
Imprint | Springer-Verlag |
Country of origin | Germany |
Series | Springer Tracts in Advanced Robotics, 23 |
Release date | May 2006 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2006 |
Authors | Juan Andrade-Cetto, Alberto Sanfeliu |
Dimensions | 235 x 155 x 11mm (L x W x T) |
Format | Hardcover |
Pages | 136 |
Edition | 2006 ed. |
ISBN-13 | 978-3-540-32795-0 |
Barcode | 9783540327950 |
Categories | |
LSN | 3-540-32795-9 |
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