Papers
12
Total Citations
115
H-Index
5
About
Sangchul Won is a robotics and control systems researcher whose career spans nearly four decades, with sustained contributions to robotic manipulator control, visual servoing, and intelligent motion planning. His foundational work in the 1980s on DC motor-driven manipulator control laid the groundwork for his later, more sophisticated contributions to nonlinear and robust control methodologies. Won is perhaps best recognized for his research on sliding mode control applied to image-based visual servoing, which demonstrated superior robustness over classical controllers under parameter uncertainties, accumulating 28 citations. His adaptive disturbance observer framework for multi-link robot manipulators — addressing the inherently nonlinear and coupled dynamics of such systems — has drawn 24 citations and remains a key reference in robust manipulator control. Won has also made practical contributions to assembly robotics, developing a variable remote center compliance device to improve peg-in-hole assembly precision. His later work extended into redundant manipulator control, obstacle avoidance, and mobile robot trajectory tracking, reflecting a broad and evolving research portfolio. Across his body of work, Won has consistently addressed the challenges of real-world robotic operation, making his research valuable to both theorists and practicing engineers in the field.
Research Focus
Key Achievements
Top Papers
- 1Image-based Visual Servoing using Sliding mode control28 citations · 2006
- 2An adaptive disturbance observer for a two-link robot manipulator24 citations · 2008
- 3Development of a new variable remote center compliance for assembly robots18 citations · 2000
- 4
- 5D-C motor driven robotic manipulator control8 citations · 1985
- 6
- 7Observer-based trajectory tracking control for a wheeled mobile robot5 citations · 2009
- 8
- 9
- 10Multi-subtask controllers of the redundant robot manipulator3 citations · 2011