Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks

Recognizing human actions is a vital task for a humanoid robot, especially in domains like programming by demonstration. Previous approaches on action recognition primarily focused on the overall prevalent action being executed, but we argue that bimanual human motion cannot always be described suff...

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Hauptverfasser: Dreher, Christian R. G, Wächter, Mirko, Asfour, Tamim
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Sprache:eng
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