Zhijie Qiao

Papers

Total Citations

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About

Zhijie Qiao is a pioneering researcher in robotic precision manufacturing, specializing in intelligent force control and material removal modeling for advanced surface finishing. His work focuses on the intersection of robotics, fuzzy logic control, and abrasive machining, particularly for high-value components like turbine blades. Qiao’s major contributions include the development of a fuzzy impedance force control technology for robot-assisted abrasive cloth wheel polishing, which enables adaptive, real-time adjustment of contact forces to achieve consistent surface quality. His model for material removal in blade polishing provides a theoretical foundation for predicting and optimizing machining outcomes, directly addressing challenges in aerospace and energy industries where blade surface integrity is critical. With his most-cited papers each garnering 11 citations, Qiao’s research is gaining traction among engineers seeking to automate and enhance precision finishing processes. His work stands out for its practical integration of soft computing techniques with robotic manipulation, offering a scalable solution to replace manual polishing. For students and researchers, Qiao exemplifies how combining control theory with manufacturing science can solve real-world industrial problems.