Zhenqi Niu

Fudan University, Chinese Academy of Sciences, University of Chinese Academy of Sciences

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About

Zhenqi Niu is a rising researcher in ultra-precision optical manufacturing, specializing in the intersection of robotic polishing and in-situ metrology. His work addresses a critical challenge in modern optics: achieving nanometer-level surface quality using cost-effective industrial robots, which are prone to positioning errors that create surface ripple. Niu’s major contributions include developing an in-situ deflectometric measurement system for transparent optics during robotic polishing (2020, 29 citations), enabling real-time error detection without removing the workpiece. He also proposed a plug-and-play positioning error compensation model (2023) that suppresses ripple by correcting robot path deviations, significantly improving surface quality for large-aperture optics. Most notably, Niu introduced a statistical perception framework (2023) that treats chaotic fabrication errors as probabilistic phenomena, allowing self-adaptive processing decisions that outperform traditional physical models. This work, which first proved the chaotic nature of polishing errors, opens new avenues for AI-driven optical fabrication. With his innovative combination of metrology, robotics, and statistical learning, Niu is establishing himself as a key contributor to next-generation deterministic polishing processes for high-end optical systems.