Sujie Zhang

Tianjin University of Science and Technology, China Railway Construction Machinery Research & Design Institute

Papers

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About

Sujie Zhang’s research bridges the gap between bio-inspired robotics and intelligent manufacturing, with a focus on high-performance flapping-wing aerial vehicles and real-time industrial quality control. In a standout 2023 study, Zhang designed and fabricated a highly maneuverable flapping-wing flying robot (FWFR) capable of achieving high speeds and large roll angles, using an airfoil optimized for lift and drag generation and manufactured via expanded polypropylene injection. This work, cited 12 times, demonstrates a novel approach to achieving avian-like agility in small-scale drones, pushing the boundaries of autonomous flight in constrained environments. Complementing this, Zhang’s 2022 research introduced a machine learning model—employing the K-Nearest Neighbors algorithm—for real-time recognition of weld defects from visible spectral images, enabling automated quality assessment in Tungsten Inert Gas welding. With 4 citations, this contribution addresses a critical need for human-independent, real-time defect detection in industrial automation. Together, Zhang’s work exemplifies a dual commitment to advancing both the mechanics of bio-inspired flight and the intelligence of manufacturing systems, offering practical solutions that enhance autonomy and reliability in robotics and production.