Papers
15
Total Citations
270
H-Index
7
About
Yunquan Sun is a robotics and manufacturing engineer whose career has centered on advancing the precision, flexibility, and intelligence of robotic machining systems. He is perhaps best known for his pioneering contributions to robotic belt grinding, a field in which he has systematically tackled the core challenges of geometric complexity, system compliance, and process control. His 2008 paper on accurate belt grinding of complex workpieces, which has garnered over 100 citations, established foundational calibration techniques that significantly improved machining accuracy for free-form surfaces. Building on this, Sun developed comprehensive simulation platforms and material removal models that gave engineers powerful tools for optimizing grinding parameters and predicting process outcomes. His work on kinematic calibration using the Product-of-Exponentials model further demonstrated his commitment to improving robotic accuracy at a fundamental level. More recently, Sun has broadened his research horizons into soft robotics, exploring magnetorheological fluids for adaptive actuation, cable-driven snake-like manipulators, and collaborative mobile robot measurement systems for large-scale manufacturing. His research trajectory reflects a career-long dedication to bridging the gap between industrial robotics and the demanding precision requirements of modern manufacturing, making him a notable figure in the field.
Research Focus
Key Achievements
Top Papers
- 1
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- 3A MATERIAL REMOVAL MODEL FOR ROBOTIC BELT GRINDING PROCESS36 citations · 2014
- 4Development of a unified flexible grinding process19 citations · 2004
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- 6Control of a cable-driven 2-DOF joint module with a flexible backbone9 citations · 2011
- 7Process Modeling of Flexible Robotic Grinding8 citations · 2003
- 8Magnetorheological Fluid for Adaptive Soft Robotics6 citations · 2024
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