Semantic shared-Task recognition for Human-Robot Interaction - Équipe Robotique et InteractionS
Communication Dans Un Congrès Année : 2024

Semantic shared-Task recognition for Human-Robot Interaction

Résumé

When collaborating with humans during a shared task, a robot must be able to estimate the shared goal and monitor the tasks completed by its partners to adapt its behavior. Our contribution is a lightweight, hierarchical task recognition system that enables the robot to estimate shared goals and monitor human tasks. This recognition system is integrated into a robotic architecture to take advantage of the semantic knowledge flow available and builds upon our previous work on action recognition. We demonstrate the mechanisms of our recognition system and how we improved it to handle missing information using a kitchen scenario. This also enables us to showcase its usability from the perspective of other agents, using Theory of Mind.
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hal-04851259 , version 1 (20-12-2024)

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Adrien Vigné, Guillaume Sarthou, Aurélie Clodic. Semantic shared-Task recognition for Human-Robot Interaction. 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN), Aug 2024, Pasadena, United States. pp.1236-1243, ⟨10.1109/RO-MAN60168.2024.10731354⟩. ⟨hal-04851259⟩
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