Description: Environment Learning for Indoor Mobile Robots : A Stochastic State Estimation Approach to Simultaneous Localization and Map Building, Hardcover by Andrade-Cetto, Juan; Sanfeliu, Alberto, ISBN 3540327959, ISBN-13 9783540327950, Like New Used, Free shipping in the US 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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Book Title: Environment Learning for Indoor Mobile Robots : A Stochastic Stat
Number of Pages: Xvi, 136 Pages
Publication Name: Environment Learning for Indoor Mobile Robots : A Stochastic State Estimation Approach to Simultaneous Localization and Map Building
Language: English
Publisher: Springer Berlin / Heidelberg
Publication Year: 2006
Subject: Intelligence (Ai) & Semantics, Electrical, Robotics, Computer Vision & Pattern Recognition
Item Weight: 14.1 Oz
Type: Textbook
Author: Juan Andrade-Cetto, Alberto Sanfeliu
Subject Area: Computers, Technology & Engineering
Item Length: 9.3 in
Series: Springer Tracts in Advanced Robotics Ser.
Item Width: 6.1 in
Format: Mixed Lot
