Bong Soo Kang
Papers
2
Total Citations
13
H-Index
2
About
Bong Soo Kang is a robotics researcher whose work spans advanced control systems and innovative robot design, with particular expertise in robust control methodologies and continuum robotics. His foundational contribution, "Robust Tracking Control of a Direct Drive Robot" (1999), established a sophisticated dual-component control framework combining computed torque methods with H∞ control theory to achieve precise tracking in direct-drive robotic systems — work that has garnered 11 citations and remains a reference point for researchers tackling dynamic modeling uncertainties in robotic control. Building on this control-systems foundation, Kang expanded his research into the emerging field of continuum robotics, developing an intrinsic continuum robot actuated by pneumatic artificial muscles that mimics biological muscle mechanics, enabling variable stiffness at robot joints for adaptable human-robot interaction. This later work further incorporated Kalman filter-based attitude estimation using inertial measurement units to address the inherent challenges of predicting end-effector pose in flexible backbone systems. Kang's research trajectory reflects a consistent commitment to bridging theoretical control frameworks with practical, human-safe robotic systems, making his work particularly valuable for students exploring soft robotics, robust control design, and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1Robust Tracking Control of a Direct Drive Robot11 citations · 1999
- 2