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Temporal scaling of leg motion for music feedback system of a dancing humanoid robot

机译:人形机器人音乐反馈系统的腿部动作的时间缩放

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In this paper, we propose a method to achieve temporal scaling of leg motions as a fundamental technique for a music feedback system of a dancing humanoid robot. We asked dancers to perform dance motion at normal musical tempo and faster musical tempos and observed how dancers modified performance for given musical tempos. The obtained insights from the observation are 1) a dancer needs to preserve leg postures that are important to emphasize dance expression, 2) there is a priority to determine what features of leg motion can be adjusted, and 3) stylistic leg motion resembles normal step motion if dancers cannot follow fast musical tempo completely. Based on these insights, we generate leg motion appropriately adjusted for changing musical tempo while maintaining balance. We validated our method via simulation experiments with a humanoid robot HRP-2.
机译:在本文中,我们提出了一种实现腿部动作的时间缩放的方法,作为跳舞类人机器人的音乐反馈系统的一项基本技术。我们要求舞者以正常的音乐节奏和较快的音乐节奏进行舞蹈动作,并观察了舞者如何在给定的音乐节奏下改变表演。从观察中获得的见解是:1)舞者需要保留对于强调舞蹈表情很重要的腿部姿势; 2)有优先权来确定腿部动作的哪些特征可以调整,以及3)风格化的腿部动作类似于正常步伐如果舞者无法完全遵循快速的音乐节奏,则进行动作。基于这些见解,我们可以在保持平衡的同时适当调整腿部动作以改变音乐节奏。我们通过人形机器人HRP-2的仿真实验验证了我们的方法。

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