Kyungno Lee
Papers
3
Total Citations
14
H-Index
3
About
Dr. Kyungno Lee is a robotics researcher whose work focuses on the coordination and control of mobile robot systems, particularly in the areas of formation control and industrial automation. His most influential contribution, "Formation Approach for Mobile Robots with Inaccurate Sensor Information" (2001, 8 citations), addresses a critical challenge in multi-robot systems: maintaining stable group formations despite noisy or imprecise sensor data. This foundational work has informed subsequent studies in decentralized robot coordination. Dr. Lee has also advanced the field of industrial robotics through his research on virtual environment registration for off-line programming (2016, 3 citations), which aims to reduce the time-consuming manual teaching process required for industrial robot manipulators. By developing methods to align virtual models with physical workspaces, his work contributes to more efficient and flexible manufacturing systems. While his citation counts reflect a focused research impact, Dr. Lee's contributions to formation control and industrial automation demonstrate his commitment to solving practical challenges in robotics, from multi-agent coordination to real-world manufacturing applications.
Research Focus
Key Achievements
Top Papers
- 1Formation Approach for Mobile Robots with Inaccurate Sensor Information8 citations · 2001
- 2
- 3Formation of Mobile Robots with Inaccurate Sensor Information3 citations · 2001