Aspects of the disclosure are directed towards updated an object representation. An example method can include causing, based on a representation of a part of an object, a robot to position an image capturing device relative to the part, the representation indicating a first characteristic of the object. The method can further include receiving a first image generated by the image capturing device while the image capturing device is positioned relative to the part. The method can further include generating a first input to a machine learning model based on the first image. The method can further include determining a first output of the machine learning model based on the first input, the first output indicating a second characteristic different than the first characteristic. The method can further include generating an updated representation that indicates the second characteristic in place of the first characteristic.


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    Title :

    TRAINING OF ARTIFICIAL INTELLIGENCE MODEL


    Contributors:

    Publication date :

    2025-08-07


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / B64F GROUND OR AIRCRAFT-CARRIER-DECK INSTALLATIONS SPECIALLY ADAPTED FOR USE IN CONNECTION WITH AIRCRAFT , Boden- oder Flugzeugträgerdeckeinrichtungen besonders ausgebildet für die Verwendung in Verbindung mit Luftfahrzeugen / B25J Manipulatoren , MANIPULATORS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



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