日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

週刊ニュースレター購読
arXiv:2203.01176

Avant-Satie! Using ERIK to encode task-relevant expressivity into the animation of autonomous social robots

Avant-Satie! Using ERIK to encode task-relevant expressivity into the animation of autonomous social robots

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著者: Tiago Ribeiro, Ana Paiva

分類: cs.RO, cs.AI, cs.HC

原文アブストラクト

ERIK is an expressive inverse kinematics technique that has been previously presented and evaluated both algorithmically and in a limited user-interaction scenario. It allows autonomous social robots to convey posture-based expressive information while gaze-tracking users. We have developed a new scenario aimed at further validating some of the unsupported claims from the previous scenario. Our experiment features a fully autonomous Adelino robot, and concludes that ERIK can be used to direct a user's choice of actions during execution of a given task, fully through its non-verbal expressive queues.