Xiaoqing Dang

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About

Xiaoqing Dang is a pioneering researcher at the intersection of robotics and biomedical engineering, with a primary focus on the dynamics and stability of robotic systems used in orthopedic surgery. Her most-cited work, "Influence of different position modal parameters on milling chatter stability of orthopedic surgery robots" (2024), makes a foundational contribution by developing a dynamic milling force model that integrates modal coupling effects. This research directly addresses the critical challenge of chatter stability—a key factor limiting precision and safety in robotic bone milling. By systematically analyzing how varying position modal parameters influence stability, Dang provides a theoretical framework that enables more reliable and accurate robotic surgical interventions. While her citation count is still growing, reflecting the recent publication of her work, the practical implications of her findings are significant for advancing autonomous surgical systems. Her research bridges mechanical dynamics with clinical application, offering essential insights for engineers designing next-generation surgical robots. Dang’s work is particularly notable for its potential to reduce surgical errors and improve patient outcomes, positioning her as an emerging thought leader in medical robotics.