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Environment Learning for Indoor Mobile Robots - A Stochastic State Estimation Approach to Simultaneous Localization and Map Building (Paperback, Softcover reprint of hardcover 1st ed. 2006) Loot Price: R2,747
Discovery Miles 27 470
Repayment Terms: R257 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 (Paperback, Softcover reprint of hardcover 1st ed. 2006)

Juan Andrade-Cetto, Alberto Sanfeliu

Series: Springer Tracts in Advanced Robotics, 23

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Loot Price R2,747 Discovery Miles 27 470 | Repayment Terms: R257 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…
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Total price: R2,767
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Terms: R259 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: November 2010
First published: 2006
Authors: Juan Andrade-Cetto • Alberto Sanfeliu
Dimensions: 235 x 155 x 8mm (L x W x T)
Format: Paperback
Pages: 136
Edition: Softcover reprint of hardcover 1st ed. 2006
ISBN-13: 978-3-642-06931-4
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN: 3-642-06931-2
Barcode: 9783642069314

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