Optimized Fingering Planning for Automatic Piano Playing Using Dual-arm Robot System

Wenjing Shi, Yihui Li, Y. Guan, Xiaohan Chen, Shengtian Yang, Senyu Mo
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Abstract

Robots can be used to play musical instruments such as the piano, but existing robots are not automated enough for this purpose. In this paper, we design an automatic finger and arm planning system for dual-arm robots, whose input object is a commonly used bi-phonic musical score with high-pitched and low-pitched voices. The digital score can be obtained from methods in the field of Optical Score Recognition. We combine the characteristics of the score and the robot to automatically generate fingering using a Dynamic Planning approach. Then we generate the movements of the robot's arms based on the annotated fingering. Finally, it is demonstrated by simulated experiments. Our method is more applicable to robots than general fingering generation algorithms.
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利用双臂机器人系统优化钢琴自动弹奏指法规划
机器人可以用来演奏乐器,比如钢琴,但现有的机器人在这方面的自动化程度还不够。本文设计了一种双臂机器人手指手臂自动规划系统,该系统的输入对象是常用的带有高音和低音的双音乐谱。数字分数可以从光学分数识别领域的方法中获得。我们结合了乐谱和机器人的特点,使用动态规划方法自动生成指法。然后根据标注的指法生成机器人手臂的运动。最后,通过仿真实验进行了验证。我们的方法比一般的指法生成算法更适用于机器人。
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