Papers
2
Total Citations
8
H-Index
2
About
Bo‑Ren Yu is a researcher whose work sits at the intersection of precision manufacturing, robotics, and geometric modeling. His primary research focus is on developing automated, high-accuracy quality control systems for industrial production, with a particular emphasis on bike frame manufacturing. Yu’s major contribution lies in replacing traditional, human-dependent measurement methods—which are time-consuming, error-prone, and rely on handwritten records—with robotic arm-based systems that leverage three-dimensional geometric mathematical models. His most-cited paper, "Achievement of Accurate Robotic Arm-based Bike Frame Quality Check Using 3D Geometry Mathematical Model" (2019, 6 citations), directly addresses these industrial pain points by proposing a non-contact, computerized approach that improves both speed and accuracy. A subsequent work, "Realisation of three‐dimensional geometric model in case of bike frame measurement" (2020, 2 citations), further refines this methodology, demonstrating how 3D models can systematically capture and digitize frame geometry. Though his citation counts are modest, Yu’s research is notable for its practical, industry-driven impact—offering a clear pathway from manual, analog quality checks to smart, automated inspection. His work is especially relevant for researchers and engineers interested in applied robotics, computer-aided measurement, and the digital transformation of traditional manufacturing processes.
Research Focus
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Top Papers
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