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Toward a Dancing Robot With Listening Capability: Keypose-Based Integration of Lower-, Middle-, and Upper-Body Motions for Varying Music Tempos

机译:迈向具有聆听能力的跳舞机器人:基于键盘的下,中,上肢动作的集成,可改变音乐节奏

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This paper presents the development toward a dancing robot that can listen to and dance along with musical performances. One of the key components of this robot is the ability to modify its dance motions with varying tempos, without exceeding motor limitations, in the same way that human dancers modify their motions. In this paper, we first observe human performances with varying musical tempos of the same musical piece, and then analyze human modification strategies. The analysis is conducted in terms of three body components: lower, middle, and upper bodies. We assume that these body components have different purposes and different modification strategies, respectively, for the performance of a dance. For all of the motions of these three components, we have found that certain fixed postures, which we call keyposes, tend to be preserved. Thus, this paper presents a method to create motions for robots at a certain music tempo, from human motion at an original music tempo, by using these keyposes. We have implemented these algorithms as an automatic process and validated their effectiveness by using a physical humanoid robot HRP-2. This robot succeeded in performing the Aizu-bandaisan dance, one of the Japanese traditional folk dances, 1.2 and 1.5 times faster than the tempo originally learned, while maintaining its physical constraints. Although we are not achieving a dancing robot which autonomously interacts with varying music tempos, we think that our method has a vital role in the dancing-to-music capability.
机译:本文提出了一种跳舞机器人的发展,该机器人可以听音乐并伴随音乐表演跳舞。该机器人的关键组成部分之一是能够以与人类舞者修改其动作相同的方式,以变化的节奏来修改其舞蹈动作,而不会超出电机的限制。在本文中,我们首先观察同一音乐作品具有不同音乐节奏的人的表演,然后分析人的修改策略。该分析是根据三个身体成分进行的:下身体,中身体和上身体。我们假设这些身体成分对于舞蹈的表演分别具有不同的目的和不同的修饰策略。对于这三个部分的所有运动,我们发现倾向于保留某些固定姿势(我们称为关键姿势)。因此,本文提出了一种方法,通过使用这些关键姿势,以原始音乐速度下的人体运动为机器人创建具有特定音乐速度下的运动。我们已经将这些算法实现为自动过程,并通过使用人形机器人HRP-2验证了它们的有效性。该机器人成功地执行了日本传统民俗舞蹈之一的会津Bandaisan舞蹈,其速度比最初学习的速度快了1.2倍和1.5倍,同时又保持了身体上的约束。尽管我们没有实现一个能够与各种音乐节奏自动交互的跳舞机器人,但我们认为我们的方法在从音乐到音乐的跳舞能力中具有至关重要的作用。

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