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Probabilistic Spatial Mapping and Curve Tracking in Distributed Multi-Agent Systems Ryan K. Williams and Gaurav S. Sukhatme Abstract— In this paper we consider a probabilistic method for mapping a spatial process over
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Document Date: 2013-06-01 19:27:52


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Nonlinear Systems / Cambridge University Press / MIT Press / Networked Multi-Agent Systems / Multi-Agent Systems / Mobile Agent Systems / /

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United States / /

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Environmental Issue / /

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Prentice Hall / University of Southern California / /

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distributed loopy belief propagation algorithm / multi-core processing / loopy belief propagation algorithm / mobile sensor networks / stable control law / level curve tracking algorithms / sized agent networks / cooperative inference algorithm / cooperative systems / belief propagation algorithm / coordinated level curve tracking algorithm / belief products / realistic distributed systems / control law / larger systems / /

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Cambridge University / MIT / University of Southern California / Los Angeles / NASA’s Moderate Resolution Imaging Spectroradiometer / National Aeronautics and Space Administration / /

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Markov / Brooks Cole / /

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¯rT / random field model / Level curve model for tracking control design / /

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Pentax K-x Digital Camera / /

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C / K / /

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Southern California / California / /

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Southern California / /

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cooperative inference algorithm / proposed algorithm / level curve tracking algorithms / distributed loopy belief propagation algorithm / proposed algorithms / loopy belief propagation algorithm / Simulation / belief propagation algorithm / coordinated level curve tracking algorithm / /

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