Sabine Verdult

Papers

Total Citations

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About

Sabine Verdult is a researcher at the intersection of human-robot interaction (HRI) and machine learning, with a focus on enabling robots to learn social behaviors through natural, playful engagement. Her most notable contribution is the pioneering work "Playing Charades with a Robot," which introduced a novel, game-based framework for collecting a large, richly annotated dataset of human gestures. By designing an HRI scenario where a humanoid robot learns to both produce and recognize gestures through interactive play, Verdult directly addressed a core challenge in robotics: how to move beyond pre-programmed responses toward adaptive, socially intuitive machines. This dataset, which has garnered 7 citations, serves as a valuable resource for researchers developing gesture recognition systems and studying non-verbal communication in HRI. Her approach—leveraging the inherent structure of a game to generate natural, varied, and ecologically valid data—demonstrates a creative methodology that prioritizes user experience alongside technical data collection. Verdult’s work is particularly influential for those designing robots for educational, therapeutic, or domestic settings, where fluid, unscripted interaction is essential.