{"title":"协作机器人奇点约束动觉教学方法","authors":"Chunxin Li, Jianhua Wu, Zhenhua Xiong","doi":"10.1016/j.mechatronics.2025.103313","DOIUrl":null,"url":null,"abstract":"<div><div>Collaborative robots play an indispensable role in both industrial and service sectors. Kinesthetic teaching technology allows users to program robots through intuitive hand-guiding actions, endowing collaborative robots with convenient deployment capabilities. However, such manual guidance may bring the robot close to singularities, as users primarily focus on the motion of the end-effector, which leads to performance degradation and poses a challenge to task reliability. This paper proposes a kinesthetic teaching method that avoids singularities in Cartesian space. The advantage of this method is that it only restrains the robot from approaching singularities while having no effects in the rest of the workspace by asymmetrically adjusting the mapping relationship between hand-guiding force and end-effector velocity. Experiments have been conducted on all possible singularities of a 6-DOF robot. The results indicate that the proposed method effectively mitigates uncoordinated motion, and the operational performance of the robot has been enhanced.</div></div>","PeriodicalId":49842,"journal":{"name":"Mechatronics","volume":"108 ","pages":"Article 103313"},"PeriodicalIF":3.1000,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A singularity-restrained kinesthetic teaching method for collaborative robots\",\"authors\":\"Chunxin Li, Jianhua Wu, Zhenhua Xiong\",\"doi\":\"10.1016/j.mechatronics.2025.103313\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Collaborative robots play an indispensable role in both industrial and service sectors. Kinesthetic teaching technology allows users to program robots through intuitive hand-guiding actions, endowing collaborative robots with convenient deployment capabilities. However, such manual guidance may bring the robot close to singularities, as users primarily focus on the motion of the end-effector, which leads to performance degradation and poses a challenge to task reliability. This paper proposes a kinesthetic teaching method that avoids singularities in Cartesian space. The advantage of this method is that it only restrains the robot from approaching singularities while having no effects in the rest of the workspace by asymmetrically adjusting the mapping relationship between hand-guiding force and end-effector velocity. Experiments have been conducted on all possible singularities of a 6-DOF robot. The results indicate that the proposed method effectively mitigates uncoordinated motion, and the operational performance of the robot has been enhanced.</div></div>\",\"PeriodicalId\":49842,\"journal\":{\"name\":\"Mechatronics\",\"volume\":\"108 \",\"pages\":\"Article 103313\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mechatronics\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0957415825000224\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mechatronics","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0957415825000224","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
A singularity-restrained kinesthetic teaching method for collaborative robots
Collaborative robots play an indispensable role in both industrial and service sectors. Kinesthetic teaching technology allows users to program robots through intuitive hand-guiding actions, endowing collaborative robots with convenient deployment capabilities. However, such manual guidance may bring the robot close to singularities, as users primarily focus on the motion of the end-effector, which leads to performance degradation and poses a challenge to task reliability. This paper proposes a kinesthetic teaching method that avoids singularities in Cartesian space. The advantage of this method is that it only restrains the robot from approaching singularities while having no effects in the rest of the workspace by asymmetrically adjusting the mapping relationship between hand-guiding force and end-effector velocity. Experiments have been conducted on all possible singularities of a 6-DOF robot. The results indicate that the proposed method effectively mitigates uncoordinated motion, and the operational performance of the robot has been enhanced.
期刊介绍:
Mechatronics is the synergistic combination of precision mechanical engineering, electronic control and systems thinking in the design of products and manufacturing processes. It relates to the design of systems, devices and products aimed at achieving an optimal balance between basic mechanical structure and its overall control. The purpose of this journal is to provide rapid publication of topical papers featuring practical developments in mechatronics. It will cover a wide range of application areas including consumer product design, instrumentation, manufacturing methods, computer integration and process and device control, and will attract a readership from across the industrial and academic research spectrum. Particular importance will be attached to aspects of innovation in mechatronics design philosophy which illustrate the benefits obtainable by an a priori integration of functionality with embedded microprocessor control. A major item will be the design of machines, devices and systems possessing a degree of computer based intelligence. The journal seeks to publish research progress in this field with an emphasis on the applied rather than the theoretical. It will also serve the dual role of bringing greater recognition to this important area of engineering.