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Visual Observation Under Uncertainty As A Discrete Event Process

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dc.contributor.advisor Sobh, Tarek M. en_US
dc.contributor.author Sobh, Tarek M. en_US
dc.contributor.author Bajcsy, Ruzena en_US
dc.date.accessioned 2014-07-16T16:57:39Z
dc.date.available 2014-07-16T16:57:39Z
dc.date.issued 1992-08 en_US
dc.identifier.other 0edb3c61-d0a8-68cd-c875-f2a61eddc014 en_US
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/783
dc.description We address the problem of development and implementation of a discrete event dynamic system (DEDS) observer for a moving agent. We advocate a modeling approach for the visual system and its observer, where the "events" are defined as ranges on parameter subsets. In particular, the proposed system is used for observing a manipulation process, where a robot hand manipulates an object. We recognize the hand/object interaction over time and a stabilizing observer is constructed. The resulting robot arm behavior is constructed as a hybrid intelligent mechanism. The work examines closely the possibilities for errors, mistakes and uncertainties in the manipulation system, observer construction process and event identification mechanisms. Some results from a sequence of a peg-in-hole operation are documented. en_US
dc.description.uri http://ieeexplore.ieee.org.libproxy.bridgeport.edu/stamp/stamp.jsp?tp=&arnumber=201592 en_US
dc.title Visual Observation Under Uncertainty As A Discrete Event Process en_US
dc.type Article en_US
dc.event.location The Hague, The Netherlands en_US
dc.event.name 10th International Conference on Pattern Recognition en_US

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