Papers
1
Total Citations
8
H-Index
1
About
Daojiang Ou is a researcher specializing in precision robotics and autonomous inspection systems, with a focus on enhancing positional accuracy in industrial applications. His most-cited work, "New positional accuracy calibration method for an autonomous robotic inspection system" (2022), introduces a novel calibration technique that significantly improves the reliability of robotic systems in automated quality control and manufacturing environments. This contribution addresses critical challenges in real-world deployment, where even minor positional errors can compromise inspection outcomes. With 8 citations, this paper has already garnered attention from peers working on robotic calibration and sensor integration. Ou’s research bridges the gap between theoretical robotics and practical industrial needs, offering scalable solutions for high-precision tasks. His work is particularly relevant for students and researchers exploring autonomous systems, metrology, and Industry 4.0 technologies, as it provides a foundation for further advancements in robotic accuracy and efficiency.
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Top Papers
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