Papers
2
Total Citations
14
H-Index
2
About
Jin Lee is a robotics and control systems researcher whose work focuses on position sensing and robust control for autonomous vehicles and robotic manipulators. His most influential contribution is the development of a position sensing system for magnet-based autonomous vehicles and robots, utilizing a one-dimensional magnetic field sensor array. This innovation, detailed in his 2006 paper (11 citations), addresses a critical challenge in advanced vehicle and robot control: accurately identifying lateral position and location. By leveraging magnetic field sensing, Lee’s system offers a practical and reliable solution for navigation in structured environments, laying groundwork for autonomous guidance technologies. Earlier, Lee proposed a smooth variable structure controller for robot manipulators, introducing a virtual plant concept to mitigate chattering in switching control. His 1995 paper (3 citations) demonstrated that this method achieves global stability and robust performance against parameter uncertainties while producing smooth control signals—a notable improvement over traditional sliding mode approaches. Though his citation counts are modest, Lee’s work represents foundational steps in sensor-based automation and nonlinear control, contributing to the evolution of autonomous systems and robotic precision. His research bridges theoretical control design with practical sensing implementations, offering valuable insights for engineers developing intelligent, self-navigating machines.
Research Focus
Key Achievements
Top Papers
- 1
- 2