Qiaoling Yuan
Papers
7
Total Citations
58
H-Index
5
About
Qiaoling Yuan is a robotics and manufacturing engineer whose research spans parallel manipulator design, workspace optimization, and advanced polishing technologies for complex surfaces. Working primarily in the mid-2000s, Yuan made significant contributions to the optimal design of linear Delta robots (LDRs), developing systematic methodologies to align robot workspace geometry with prescribed dexterous workspaces — a critical challenge in practical robot deployment. Yuan's pioneering work on determining maximal regular-shaped dexterous workspaces for parallel manipulators, cited 13 times, provided the field with a robust framework applicable to both planar and spatial configurations. Complementing this theoretical work, Yuan also advanced the frontier of automated surface finishing, introducing innovative gasbag polishing tools and robotic control systems tailored for free-form mould surfaces. The material removal model developed for robotic gasbag polishing, grounded in Preston's equation, offered manufacturers a principled approach to controlling contact forces and achieving precision surface quality. Collectively, Yuan's publications — accumulating over 58 citations across seven key works — reflect a productive researcher bridging computational robot design with practical manufacturing automation, with lasting relevance to industries requiring precision motion systems and high-quality surface finishing.
Research Focus
Key Achievements
Top Papers
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