MinCheol Lee
Papers
2
Total Citations
13
H-Index
2
About
MinCheol Lee’s research bridges robotics, computer vision, and surgical instrumentation, with a focus on enabling autonomous navigation and precise control in complex environments. His most cited work, “A study on detecting elevator entrance door using stereo vision in multi floor environment” (2009, 9 citations), introduces a stereo-vision algorithm that allows service robots to recognize elevator doors in multi-floor settings—a critical step toward seamless indoor mobility. This contribution directly addresses the challenge of robot navigation in human-centric spaces like homes and offices. In parallel, Lee’s study “The workability of sliding perturbation observer as haptic signal at the surgical robot instrument” (2010, 4 citations) explores robust control for cable-driven surgical robots, demonstrating how sliding mode control with a perturbation observer can enhance haptic feedback and safety despite nonlinear cable dynamics. This work underscores his commitment to improving surgical precision and operator intuition. Though his citation counts reflect a niche but impactful focus, Lee’s contributions are foundational for researchers developing autonomous service robots and safer surgical tools. His dual expertise in perception and control highlights a career dedicated to making robots more adaptive and reliable in real-world settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2