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About

Fuwen Yin is a leading researcher in precision robotics, specializing in the kinematic calibration and accuracy design of hybrid and parallel manipulators. His work addresses a fundamental challenge in robotics: ensuring high pose accuracy in complex, lower-mobility mechanisms. Yin’s major contributions include developing systematic approaches to identify and compensate for geometric errors that degrade robot performance. He pioneered methods to tackle multicollinearity in identification Jacobians for 6-DOF hybrid robots (104 citations) and introduced screw theory-based techniques to determine identifiable parameters for parallel manipulator calibration (33 citations). His innovative use of extended Kalman filters for calibrating 5-DOF hybrid machining robots (30 citations) further advances real-time error compensation. Notably, Yin has also established a general framework for accuracy design of lower-mobility parallel mechanisms (16 citations), enabling tolerance allocation at the design stage to preemptively ensure precision. With over 180 citations across his most influential works, Yin’s research bridges theoretical modeling and practical calibration, making him a key figure in the pursuit of highly accurate, industrially viable robotic systems.