Duck Hui Song
Papers
1
Total Citations
5
H-Index
1
About
Duck Hui Song is a robotics researcher whose work centers on visual servoing and real-time object tracking for robotic manipulators. His key contributions lie in integrating stereo vision feedback to enable precise, dynamic control of robot motion—a critical challenge in automation and human-robot interaction. His most cited paper, "Tracking Control of a Moving Object for Robokers with Stereo Visual Feedback" (2007), has garnered 5 citations and introduces a novel eye-in-head system structure, where a stereo camera estimates the pose of a moving target to form a tracking error for closed-loop visual servoing. This work demonstrates Song’s expertise in fusing computer vision with control theory to enhance robotic autonomy and responsiveness. While his citation count reflects a focused, early-career impact, his research addresses foundational problems in industrial robotics and autonomous systems, offering practical pathways for robots to interact with dynamic environments. Song’s contributions are particularly valuable for students and researchers exploring visual feedback mechanisms, as his work bridges theoretical control algorithms with real-world implementation challenges in robotics.
Research Focus
Key Achievements
Top Papers
- 1