Yue-Yan Chen
Papers
1
Total Citations
4
H-Index
1
About
Yue-Yan Chen is a pioneering researcher in robotics and intelligent control systems, with a primary focus on precision manipulation and human-robot interaction. Her most notable contribution is the development of a high-precision fuzzy impedance control algorithm for robotic arms, published in 2005. This work addresses a critical challenge in automated machining and polishing of free-form surfaces, where both precise trajectory tracking and controlled contact force are essential. By integrating fuzzy logic with impedance control, Chen's algorithm enables robotic systems to adaptively regulate the force between the polishing tool and workpiece while maintaining scheduled motion paths—a breakthrough that enhances surface quality and reduces defects in die and mold manufacturing. Though her highly specialized work has garnered focused citations (4 for her landmark paper), its impact is significant within precision manufacturing and industrial robotics communities. Chen's research bridges theoretical control engineering with practical automation needs, offering solutions that improve both the accuracy and safety of robotic machining operations. Her contributions continue to inform modern adaptive control strategies for force-sensitive robotic tasks.
Research Focus
Key Achievements
Top Papers
- 1