| Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building 2006 Edition Contributor(s): Andrade Cetto, Juan (Author), Sanfeliu, Alberto (Author) |
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ISBN: 3540327959 ISBN-13: 9783540327950 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: May 2006 |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Robotics - Computers | Computer Graphics - Technology & Engineering | Electrical |
| Dewey: 629.893 |
| LCCN: 2006921746 |
| Series: Springer Tracts in Advanced Robotics |
| Physical Information: 0.44" H x 6.14" W x 9.21" (0.88 lbs) 136 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |