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Environment Learning for Indoor Mobile Robots - A Stochastic State Estimation Approach to Simultaneous Localization and Map Building (Hardcover, 2006 ed.) Loot Price: R2,916
Discovery Miles 29 160
Repayment Terms: R273 pm x 12*
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Environment Learning for Indoor Mobile Robots - A Stochastic State Estimation Approach to Simultaneous Localization and Map...

Environment Learning for Indoor Mobile Robots - A Stochastic State Estimation Approach to Simultaneous Localization and Map Building (Hardcover, 2006 ed.)

Juan Andrade-Cetto, Alberto Sanfeliu

Series: Springer Tracts in Advanced Robotics, 23

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Loot Price R2,916 Discovery Miles 29 160 | Repayment Terms: R273 pm x 12*

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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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Springer Tracts in Advanced Robotics, 23
Release date: May 2006
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
Categories: Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
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LSN: 3-540-32795-9
Barcode: 9783540327950

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