Papers
9
Total Citations
178
H-Index
6
About
Kang-Bark Park is a robotics and control systems researcher whose work has made notable contributions to the field of robot manipulator control, with a particular focus on sliding mode control, adaptive control, and motion planning. His most influential contribution, a 1996 technical comment correcting critical errors in a foundational paper on MIMO terminal sliding mode control (60 citations), demonstrates his rigorous analytical approach and attention to theoretical precision — work that helped solidify the mathematical foundations others built upon. His 1997 paper on sliding mode controllers with filtered signals using virtual plant/controller concepts (55 citations) further established his expertise in robust control design for robotic systems. Park has also explored optimal kinematic control for redundancy resolution in robot manipulators, robust adaptive control schemes that require no prior knowledge of uncertainty bounds, friction compensation using sliding mode observers, and local motion planning for nonholonomic mobile robots navigating unknown environments. His earlier work on flexible robot arm control systems rounds out a career spanning foundational control theory to practical implementation challenges. Collectively, Park's research addresses the core challenge of making robotic systems reliable, precise, and adaptable — contributions that continue to inform both theoretical and applied robotics research.
Research Focus
Key Achievements
Top Papers
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- 3Redundancy resolution of robot manipulators using optimal kinematic control17 citations · 2002
- 4Robust adaptive control for robot manipulators using regressor-based form17 citations · 2002
- 5Frictionless control of robot arm with sliding mode observer12 citations · 2002
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