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

2
H-Index
2
Papers
14
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Position Sensing System for Magnet Based Autonomous Vehicle and Robot Using 1-Dimensional Magnetic Field Sensor Array
11 citations · 2006
📈 Most Prolific Year: 2006 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Mokpo National University, Korea Advanced Institute of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago