Min Kyung Kang
Papers
1
Total Citations
25
H-Index
1
About
Min Kyung Kang is a prominent researcher in robotics and control systems, with a particular focus on mobile robot navigation and iterative learning control (ILC). Her most-cited work, "Kinematic path-tracking of mobile robot using iterative learning control" (2005, 25 citations), introduces a novel algorithm that leverages ILC to enhance the precision of nonholonomic mobile robots. This contribution is significant for its innovative approach to generating velocity commands that seamlessly integrate with dynamic controllers, improving path-tracking accuracy in repetitive tasks. Kang’s research addresses critical challenges in autonomous navigation, offering practical solutions for industrial and service robotics. Her work has been influential in advancing control methodologies, as evidenced by its citation record and its role in inspiring further studies on learning-based robot control. Through her achievements, Kang has established herself as a key figure in the field, bridging theoretical control theory with real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1Kinematic path-tracking of mobile robot using iterative learning control25 citations · 2005