Conceptual
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Interruption Handling for Conversational Robots

A real-time human-robot interaction system that detects user-initiated interruptions and classifies them by intent (cooperative agreement, assistance, clarification, or disruptive), then applies intent-tailored handling strategies derived from human conversation data on an LLM-powered social robot, rather than always yielding the turn.