Sanghyob Lee
Papers
1
Total Citations
30
H-Index
1
About
Sanghyob Lee is a leading researcher in robotics and control systems, with a primary focus on visual servoing and autonomous mobile robot navigation. His most cited work, "Dynamic Image-Based Visual Servoing of Monocular Camera Mounted Omnidirectional Mobile Robots Considering Actuators and Target Motion via Fuzzy Integral Sliding Mode Control" (2020, 30 citations), addresses a critical gap in wheeled mobile robot (WMR) research. While prior studies often overlooked actuator dynamics and target motion, Lee introduced a novel fuzzy integral sliding mode control (FISMC) method that integrates these factors, enabling monocular camera-equipped omnidirectional mobile robots (OMRs) to achieve robust, real-time visual tracking. This contribution significantly enhances the stability and precision of image-based visual servoing (IBVS) in dynamic environments. Lee’s work is notable for bridging theoretical control design with practical robotic applications, offering a scalable solution for autonomous systems. His research has implications for industrial automation, service robotics, and autonomous navigation, where reliable visual feedback is crucial. With a growing citation record, Lee is establishing himself as an influential voice in advanced robotics control, inspiring further innovation in intelligent, vision-guided mobile systems.
Research Focus
Key Achievements
Top Papers
- 1