Wenjing Shi, Yihui Li, Y. Guan, Xiaohan Chen, Shengtian Yang, Senyu Mo
{"title":"利用双臂机器人系统优化钢琴自动弹奏指法规划","authors":"Wenjing Shi, Yihui Li, Y. Guan, Xiaohan Chen, Shengtian Yang, Senyu Mo","doi":"10.1109/ROBIO55434.2022.10011881","DOIUrl":null,"url":null,"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.","PeriodicalId":151112,"journal":{"name":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":"223 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimized Fingering Planning for Automatic Piano Playing Using Dual-arm Robot System\",\"authors\":\"Wenjing Shi, Yihui Li, Y. Guan, Xiaohan Chen, Shengtian Yang, Senyu Mo\",\"doi\":\"10.1109/ROBIO55434.2022.10011881\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":151112,\"journal\":{\"name\":\"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"volume\":\"223 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBIO55434.2022.10011881\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO55434.2022.10011881","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimized Fingering Planning for Automatic Piano Playing Using Dual-arm Robot System
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.