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About

Fengxia He is a leading researcher in robotic machining, with a primary focus on understanding and mitigating chatter in robotic milling processes. Her work addresses a critical challenge: the inherently low structural stiffness of industrial robots (often below 1 N/µm), which makes them highly susceptible to mode coupling chatter, compromising surface quality and risking damage to both the workpiece and the robot. He’s major contributions include developing a chatter-free path optimization algorithm based on a stiffness orientation method, and pioneering three-dimensional stability analysis for robotic machining. She has also advanced the field by introducing reliability probability methods into chatter prediction, particularly for high-stakes applications like orthopedic surgical robots, where input parameter randomness can lead to catastrophic failure. With her most cited paper accumulating 38 citations, He’s research has provided foundational tools for improving robot milling stability. Her work is not only academically rigorous but also practically vital, enabling safer, more reliable automation in manufacturing and medical robotics.