Research on status monitoring and positioning compensation system for digital twin of parallel robots
Abstract Industrial parallel robots are characterized by their stable structure and grasping pick-up speed, and they are commonly used in food packaging and parts assembly industries. However, the traditional robot teaching pendants often provide monitoring data under idealized conditions. The lack...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-03-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-91892-2 |
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| author | Yuting Zhang Pei Gao Zongyan Wang Quanling He |
| author_facet | Yuting Zhang Pei Gao Zongyan Wang Quanling He |
| author_sort | Yuting Zhang |
| collection | DOAJ |
| description | Abstract Industrial parallel robots are characterized by their stable structure and grasping pick-up speed, and they are commonly used in food packaging and parts assembly industries. However, the traditional robot teaching pendants often provide monitoring data under idealized conditions. The lack of precise monitoring, combined with sensor data, frequently results in misaligned robot positioning and a reduced operational lifespan. To enhance these robots’ positioning accuracy and monitoring efficiency, this paper introduces research on status monitoring and positioning compensation system for digital twin of parallel robots. Initially, the digital twin framework is constructed. Establishing a spatial kinematics model that serves as the foundation for the twin model, the kinematics model facilitates basic synchronized interaction. Furthermore, an improved IPSO-SSA-DBP algorithm calibrates the kinematics and predicts the position error. Ultimately, a digital twin system is built to visualize the status monitoring and positioning error compensation, and the system’s reliability is confirmed through experimental validation. |
| format | Article |
| id | doaj-art-ad5c45fca9eb400a80b90b8ccfb4c421 |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-ad5c45fca9eb400a80b90b8ccfb4c4212025-08-20T01:57:47ZengNature PortfolioScientific Reports2045-23222025-03-0115111910.1038/s41598-025-91892-2Research on status monitoring and positioning compensation system for digital twin of parallel robotsYuting Zhang0Pei Gao1Zongyan Wang2Quanling He3North University of China, Key Laboratory of Digital Design and Manufacturing in Shanxi ProvinceShanxi Polytechnic College, Department of Mechanical and Electrical EngineeringNorth University of China, Key Laboratory of Digital Design and Manufacturing in Shanxi ProvinceNorth University of China, Key Laboratory of Digital Design and Manufacturing in Shanxi ProvinceAbstract Industrial parallel robots are characterized by their stable structure and grasping pick-up speed, and they are commonly used in food packaging and parts assembly industries. However, the traditional robot teaching pendants often provide monitoring data under idealized conditions. The lack of precise monitoring, combined with sensor data, frequently results in misaligned robot positioning and a reduced operational lifespan. To enhance these robots’ positioning accuracy and monitoring efficiency, this paper introduces research on status monitoring and positioning compensation system for digital twin of parallel robots. Initially, the digital twin framework is constructed. Establishing a spatial kinematics model that serves as the foundation for the twin model, the kinematics model facilitates basic synchronized interaction. Furthermore, an improved IPSO-SSA-DBP algorithm calibrates the kinematics and predicts the position error. Ultimately, a digital twin system is built to visualize the status monitoring and positioning error compensation, and the system’s reliability is confirmed through experimental validation.https://doi.org/10.1038/s41598-025-91892-2Digital twinParallel robotsStatus monitoringPositioning compensationSystem integration |
| spellingShingle | Yuting Zhang Pei Gao Zongyan Wang Quanling He Research on status monitoring and positioning compensation system for digital twin of parallel robots Scientific Reports Digital twin Parallel robots Status monitoring Positioning compensation System integration |
| title | Research on status monitoring and positioning compensation system for digital twin of parallel robots |
| title_full | Research on status monitoring and positioning compensation system for digital twin of parallel robots |
| title_fullStr | Research on status monitoring and positioning compensation system for digital twin of parallel robots |
| title_full_unstemmed | Research on status monitoring and positioning compensation system for digital twin of parallel robots |
| title_short | Research on status monitoring and positioning compensation system for digital twin of parallel robots |
| title_sort | research on status monitoring and positioning compensation system for digital twin of parallel robots |
| topic | Digital twin Parallel robots Status monitoring Positioning compensation System integration |
| url | https://doi.org/10.1038/s41598-025-91892-2 |
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