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Hsuan-Yu Yang is a leading researcher in the field of advanced manufacturing, specializing in cyber-physical systems and robotic automation for high-precision industrial processes. His work focuses on transforming labor-intensive, high-risk tasks such as grinding, polishing, and deburring into intelligent, autonomous operations. Yang’s major contributions center on the development of “zero-tuning” and “key ingredient” methodologies for cyber-physical robot grinding systems, which eliminate the traditional reliance on expert programmers by enabling robots to self-optimize process quality in real time. His most cited paper (2020, 8 citations) lays out a foundational framework for improving process quality in high-level robotic grinding, while his subsequent research (2021, 2 citations) provides critical characterization and modeling of grinding speed and belt wear—addressing a key challenge in maintaining consistent workpiece quality. With a total of 12 citations across his top works, Yang’s research is pivotal for industries facing labor shortages, particularly plumbing and metal finishing. His achievements demonstrate a clear path toward fully autonomous, adaptive manufacturing, making him a notable figure in the evolution of smart factories and Industry 4.0.