A team of micro air vehicles (MAV) are inspecting a sequence of objects to accumulate evidence to convict/acquit an object as a target. Images are sent to a remote operator who serves the role as feature detector. This apart models the MAV-operator team as a stochastic dynamic program (DP). Solution of the DP yields the optimal policy of actions to perform on the objects regardless of the operator evaluation or when it is received.


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    Title :

    Decision Making Under Uncertainty Applied to the Counter Scenario


    Contributors:
    A. Girard (author)

    Publication date :

    2006


    Size :

    36 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English





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