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    Qualitative Template Matching Using Dynamic Process Models for State Transition Recognition of Robotic Assembly 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1993:;volume( 115 ):;issue: 2A:;page 261
    Author(s): B. J. McCarragher; H. Asada
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a model-based approach to the recognition of discrete state transitions for robotic assembly. Sensor signals, in particular, force and moment, are interpreted with reference ...
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    The Discrete Event Control of Robotic Assembly Tasks 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1995:;volume( 117 ):;issue: 003:;page 384
    Author(s): B. J. McCarragher; H. Asada
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A new approach to process modeling, task synthesis, and motion control for robotic assembly is presented. Assembly is modeled as a discrete event dynamic system using Petri nets, incorporating ...
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    The Discrete Event Modeling and Trajectory Planning of Robotic Assembly Tasks 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1995:;volume( 117 ):;issue: 003:;page 394
    Author(s): B. J. McCarragher; H. Asada
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A new approach to process modeling, task synthesis, and trajectory planning for robotic assembly is presented. Assembly is modeled as a discrete event dynamic system incorporating both discrete ...
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    Control of Sensory Perception in Discrete Event Systems Using Stochastic Dynamic Programming 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1999:;volume( 121 ):;issue: 002:;page 200
    Author(s): G. E. Hovland; B. J. McCarragher
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The problem of controlling sensory perception for use in discrete event feedback control systems is addressed in this paper. The problem consists of the real-time dynamic selection of different ...
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