Papers
4
Total Citations
62
H-Index
3
About
Jinna Qin is a researcher specializing in the control and estimation of flexible-joint industrial manipulators, with a primary focus on robotic friction stir welding (FSW) and machining processes. Her work addresses a critical challenge in manufacturing: the inherent lack of stiffness in industrial robots, which compromises precision during high-force operations. Qin’s major contributions include developing real-time trajectory compensation methods using state estimators, enabling accurate motion control despite robot flexibility. She also pioneered non-linear observer-based techniques to simultaneously estimate link states and external forces exerted during FSW, significantly enhancing process reliability. Her most cited work, “Real-Time Trajectory Compensation in Robotic Friction Stir Welding Using State Estimators” (2016, 37 citations), demonstrates practical solutions for industrial applications. Additionally, her 2013 paper on external force estimation (17 citations) and her doctoral thesis on robust hybrid position/force control (2013) further solidify her expertise. Qin’s research bridges the gap between theoretical control systems and real-world manufacturing, offering tangible improvements in robotic precision for composite material processing and welding. Her work remains influential for engineers seeking to optimize robotic performance in demanding industrial environments.
Research Focus
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