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Cognitive architecture aided by working-memory for self-supervised multi-modal humans recognition
The ability to recognize human partners is an important social skill to build personalized and long-term human-robot interactions, especially in scenarios like education, care-giving, and rehabilitation.
Action similarity judgment based on kinematic primitives
The results show that both the model and human performance are highly accurate in an action similarity task based on kinematic-level features, which can provide an essential basis for classifying human actions.
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