Abstract
In the robotic polishing system for the wheel hubs, initial point alignment is a very important procedure before the robot starts to polish. Since the surface shapes of the wheel hubs are complex, traditional contact sensors are not suitable for the initial point alignment. Therefore, this paper presents a vision-based initial point alignment control method due to the merits of non-contact and high precision of the vision sensor. The main procedures of the new proposed initial point alignment methods are as follows. Firstly, the center point of the wheel hub is computed based on the growth of sampled points (GSP) method. Secondly, the center lines of the spokes of the wheel hub are extracted based on the edges of the spokes. Based on the center point and the center lines of the spokes, the needed rotation angle of the wheel hub denoting the current and target initial points can be computed. Thirdly, an alignment controller is designed to align the current initial point with the target one. Finally, experiments are well conducted to demonstrate the effectiveness of the proposed initial point alignment control method for the wheel hubs.
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Funding
This work was supported by the National Key R&D Program of China (Grant No. 2018YFB1308900), the National-Zhejiang Joint Natural Science Foundation of China (Grant No. U1909215), the Key R&D Program of Zhejiang Province (Grant No.2018C01086), and Equipment Advanced Research Fund of China (Grant No.6140923010102).
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Fang, Z., Li, J., Zhang, C. et al. Vision-based initial point alignment control for the wheel hubs in the robotic polishing system. Int J Adv Manuf Technol 111, 1471–1481 (2020). https://doi.org/10.1007/s00170-020-06125-9
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DOI: https://doi.org/10.1007/s00170-020-06125-9