SPATIAL UNCERTAINTY MANAGEMENT FOR A MOBILE ROBOT AND ITS ROLE IN EXPECTATION-BASED PERCEPTION
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The Autonomous Robot Architecture (AuRA) incorporates an Uncertainty Management Subsystem that is used to guide perceptual processing. Expectations generated from a spatial uncertainty map provide windows into incoming video images that are used for the recognition and tracking of landmarks. This system takes advantage of a priori world knowledge to control the growth of uncertainty as well as to predict landmark location.
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