Modeling Interaction Structure for Robot Imitation Learning of Human Social Behavior

This study presents a learning-by-imitation technique that learns social robot interaction behaviors from natural human- human interaction data and requires minimum input from a designer. To solve the problem of responding to ambiguous human actions, a novel topic clustering algorithm based on action cooccurrence frequencies is introduced. The system learns human-readable rules that dictate which ...