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Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building - Springer Tracts in Advanced Robotics 23 (Hardback)
  • Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building - Springer Tracts in Advanced Robotics 23 (Hardback)
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Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building - Springer Tracts in Advanced Robotics 23 (Hardback)

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£129.99
Hardback 136 Pages / Published: 22/05/2006
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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.

Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN: 9783540327950
Number of pages: 136
Weight: 400 g
Dimensions: 235 x 155 x 11 mm
Edition: 2006 ed.

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