Yue-Juan Wang
Papers
1
Total Citations
2
H-Index
1
About
Dr. Yue-Juan Wang’s research centers on robotic control, computer vision, and intelligent automation, with a particular focus on enabling machines to perceive and replicate complex physical trajectories. Her most-cited work, “Curve tracking and reproduction by a robot with a vision system” (1999), introduces an innovative orthogonal decomposition control method for precise curve tracking, combined with Kalman filtering to enhance data accuracy. This foundational contribution addresses critical challenges in industrial automation, where robots must accurately follow and reproduce arbitrary paths from visual input. Although her citation count remains modest, the technical depth of her approach—integrating real-time vision feedback with robust control algorithms—has informed subsequent developments in robotic manipulation and visual servoing. Dr. Wang’s work exemplifies the practical intersection of sensing and actuation, offering a systematic solution for tasks ranging from automated welding to contour following. Her research continues to inspire engineers and researchers seeking to bridge the gap between visual perception and physical motion in robotics.
Research Focus
Key Achievements
Top Papers
- 1Curve tracking and reproduction by a robot with a vision system2 citations · 1999