Papers
1
Total Citations
3
H-Index
1
About
Running Cao is a researcher specializing in precision automation and computer vision, with a focus on high-accuracy positioning systems for industrial assembly. His key research areas include visual measurement, robotic manipulation, and image-based alignment techniques. Cao’s major contribution lies in developing a high-precision position method using two CCD cameras in an alternate-angle image acquisition mode, as detailed in his 2018 work. This method enables the automatic assembly of delicate components, such as diaphragms in phone bodies, by simultaneously tracking both the component and the target fixture. While his most-cited paper has garnered 3 citations, its practical significance is evident in its application to real-world manufacturing challenges, demonstrating a robust solution for micro-assembly tasks. Cao’s work bridges the gap between theoretical computer vision and industrial automation, offering a cost-effective and reliable approach for precision positioning. His research is particularly valuable for engineers and researchers developing automated assembly lines for consumer electronics, where millimeter-level accuracy is critical.
Research Focus
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Top Papers
- 1