AI RESEARCH
Efficient Emotion-Aware Iconic Gesture Prediction for Robot Co-Speech
arXiv CS.AI
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ArXi:2604.11417v1 Announce Type: cross Co-speech gestures increase engagement and improve speech understanding. Most data-driven robot systems generate rhythmic beat-like motion, yet few integrate semantic emphasis. To address this, we propose a lightweight transformer that derives iconic gesture placement and intensity from text and emotion alone, requiring no audio input at inference time.