音乐合奏中的人机同步:进展与挑战

Sutirtha Chakraborty, J. Timoney
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引用次数: 4

摘要

在瞬息万变的实时环境中,人类最擅长的是同步和预测。例如,涉及协调动作的各种活动,如接球和跳舞,需要基于部分信息的坚定决策。然而,任务的同步给当前的机器人结构带来了很大的困难。这在人机交互中更加困难。一个可能的解决方案是将所有实体视为耦合振荡器。然后,Kuramoto的同步振荡器概念应该以一种自适应的方式适用。然而,在现实生活中,不确定的感官环境带来了巨大的挑战。本文综述了音乐表演中人机同步的研究进展。结果以定量的方式呈现。本文对研究结果进行了讨论,并指出了未来的主要影响。
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Robot Human Synchronization for Musical Ensemble: Progress and Challenges
Human beings are principally efficient at synchronizing and predicting within a swiftly altering realtime environment. For instance, various activities that involve harmonized movements, like catching a ball and dancing, needs firm decision making, based on partial information. However, the synchronization of tasks offers serious difficulty for the current architecture of robots. This is even more difficult in Human-robot interactions. A potential solution is to consider all entities as coupled oscillators. Then, Kuramoto’s synchronous oscillator concept should then be applicable in an adaptive way. However, in real-life, uncertain sensory environments creates huge challenges. This paper reviews the progress of human robot synchronization for a musical performance. The results are presented in a quantitative manner. The paper provides a discussion of the research findings, along with an indication of the major future implications.
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