Learning from Demonstration by Averaging Trajectories (LAT) has been implemented using a Katana robotic manipulator. LAT works in three phases: Demonstration: Repeated recording of trajectories and detection of involved objects (located at changing positions). Generalisation: Creation of a continuos behaviour model on trajectory level for each object involved. Reproduction: Fusion of the models, adapted to an arbitrary new situation where all the objects again can be located at different positions.


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    Titel :

    Robot Learning from Demonstration by Averaging Trajectories - Put the Can into the Cup


    Untertitel :

    Experiment/Model Test




    Erscheinungsdatum :

    01.01.2012


    Format / Umfang :

    49MB, 00:05:21:04



    Medientyp :

    Audiovisuelles Material


    Format :

    Audiovisuelles Material


    Sprache :

    Englisch





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