Yuqin Niu
Papers
2
Total Citations
14
H-Index
2
About
Yuqin Niu is a rising researcher in the field of intelligent manufacturing and robotic machining, with a primary focus on improving the precision and quality of robotic milling processes. Her work addresses a critical challenge in modern manufacturing: the inherent flexibility and low stiffness of industrial robots, which often lead to undesirable cutting vibrations and compromised surface quality during machining. Niu’s major contributions include the development of predictive models for surface topography, as exemplified by her 2024 paper on robotic ball-end milling, which accounts for tool vibration to forecast surface finish. She has also pioneered optimization strategies for redundant degrees of freedom in robotic flat-end milling, dynamically adjusting robot posture to minimize vibration and enhance machining stability. Her most-cited works, accumulating 14 citations in a short period, demonstrate the immediate relevance of her research to the industrial adoption of robots for large-scale part fabrication. By tackling the stiffness limitations of robot joints and links, Niu’s work is pivotal for advancing the use of cost-effective, flexible robotic systems in high-precision manufacturing, making her a notable contributor to the future of intelligent automation.
Research Focus
Key Achievements
Top Papers
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