Abstract
The painting operation environment is extremely harsh, and the dust generated during the painting process can lead to poor monitoring using vision. Therefore, a real-time monitoring system for spray-painting robots is proposed based on the digital twin theory. A real-time monitoring scheme for spray-painting robots based on the five-dimension digital twin model is designed. Virtual simulation environments and interactive interfaces of the system are built using Unity3D. The key program of the real-time monitoring system is designed by C# to realize the real-time communication between the real robot and the virtual robot. Real-time follow-up experiments of spray-painting robots were completed using the designed robot experimental platform. By analyzing the collected joint angle data of the real robot and the virtual robot, the experimental results shown that the joint angle deviation at the same time is small and the virtual robot can follow the real robot in time.
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This work was supported by the National Natural Science Foundation of China (51925502).
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Wang, W., Zhao, J., Chen, Z., Zi, B. (2023). Real-Time Monitoring System of Spray-Painting Robot Based on Five-Dimension Digital Twin Model. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14275. Springer, Singapore. https://doi.org/10.1007/978-981-99-6504-5_15
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DOI: https://doi.org/10.1007/978-981-99-6504-5_15
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