Chao-Yun Chen

National Cheng Kung University

Papers

1

Total Citations

8

H-Index

1

About

Chao-Yun Chen is a researcher specializing in precision motion control, contour tracking, and advanced command generation for automated manufacturing systems. Her most notable contribution is the development of a vision-based Pythagorean hodograph (PH) spline command generation method, coupled with adaptive disturbance compensation, for planar contour tracking—a technique that significantly enhances the accuracy and smoothness of high-speed machining and robotic path following. This work, published in 2012 and cited 8 times, addresses critical challenges in real-time trajectory planning and error mitigation, offering a robust framework for industrial automation. Chen’s research bridges geometric modeling and control theory, enabling more efficient and precise motion in applications such as CNC machining and laser cutting. Her achievements highlight a commitment to solving practical engineering problems through innovative algorithmic design, making her work valuable for researchers and engineers in mechatronics and manufacturing.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Vision-based Pythagorean hodograph spline command generation and adaptive disturbance compensation for planar contour tracking
8 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: National Cheng Kung University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago