Papers
2
Total Citations
8
H-Index
2
About
Jun-Ze Lai is a researcher focused on precision manufacturing and automated quality inspection, with a particular emphasis on applying three-dimensional geometric modeling to industrial metrology. His work addresses critical inefficiencies in traditional, human-dependent quality control processes, especially within the bicycle manufacturing industry. Lai’s major contribution is the development of a mathematical model that enables a robotic arm to perform accurate, computerized quality checks on bike frames. This innovation directly tackles the time-consuming nature, low accuracy, and non-digital data recording of manual inspection methods. His foundational paper, "Achievement of Accurate Robotic Arm-based Bike Frame Quality Check Using 3D Geometry Mathematical Model" (2019, 6 citations), and its follow-up, "Realisation of three‐dimensional geometric model in case of bike frame measurement" (2020, 2 citations), demonstrate a clear trajectory from problem identification to solution implementation. By replacing handwritten records and mechanical molds with a systematic, digital approach, Lai’s work provides a pathway for more efficient and reliable quality assurance in manufacturing, representing a meaningful step toward the automation of complex inspection tasks.
Research Focus
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Top Papers
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