Dong Sun Lee
Papers
1
Total Citations
5
H-Index
1
About
Dong Sun Lee is a robotics researcher whose work focuses on advancing motion control strategies for industrial robots, particularly articulated arm systems. His key research areas include robotic kinematics, trajectory planning, and real-time control implementation. Lee’s major contribution lies in developing a LabVIEW®-based joint-linear motion blending technique for a lab-manufactured 6-axis articulated robot (RS2), which enables faster and more accurate movement by seamlessly integrating Point-to-Point (PTP) and Continuous Path (CP) control strategies—a critical advancement for collaborative robotics. While his most-cited paper (2012) has garnered 5 citations, its significance extends beyond raw numbers, as it addresses a fundamental challenge in industrial automation: achieving smooth, efficient motion for human-robot co-work scenarios. Lee’s work demonstrates how accessible software platforms like LabVIEW can be leveraged to optimize robot performance without requiring proprietary hardware, making advanced motion control more practical for research labs and small-scale manufacturing. His contributions provide a foundation for researchers exploring real-time control systems in collaborative robotics, emphasizing the importance of blending motion types to enhance both speed and precision in industrial applications.
Research Focus
Key Achievements
Top Papers
- 1