基于语音的具身交互机器人系统

Tomio Watanabe, M. Okubo, H. Ogawa
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引用次数: 35

摘要

提出了基于语音的具身交互机器人系统的概念,通过生成与语音连贯相关的机器人运动来辅助人类交互。对于一种基于说话人的言语停顿来估计听者点头的基本人际交互模型,从鲁棒性方面证明了移动平均(MA)模型的有效性。在此基础上,开发了由2个说话者和听者交互机器人组成的系统原型,其中包含两个模型:一个是听者的反应模型,其中听者的点头、眨眼以及头部、手臂和身体的运动通过语音停顿到点头的MA模型进行估计;另一种是说话人的身体反应模型,说话人的头部、手臂和身体的运动是通过说话人自己的头部运动的突然停顿MA模型来估计的。最后,通过人机交互中的感官评价和行为分析,论证了系统身体交互的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An embodied interaction robots system based on speech
The concept of an embodied interaction robots system based on speech is proposed for assisting human interaction by generating the motions of robots coherently related to speech. For an essential human interaction model which estimates a listener's nodding on the basis of speaker's burst-pause of speech, the validity of a moving-average (MA) model is demonstrated in the robustness of prediction. Then, the prototype of the proposed system which consists of 2 interaction robots with both functions of speaker and listener is developed in which two models are incorporated: one is a listener's reaction model in which nodding, blinking and the motions of head, arms and body are estimated by the MA model of the burst-pause of speech to the nodding; the other is a speaker's bodily reaction model in which the motions of head, arms and body are estimated by its own MA model of the burst-pause of speech to the head motion. Finally, by the sensory evaluation and behavioral analysis in human-robot interaction, the effectiveness of the system's bodily interaction is demonstrated.
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