Kyungno Lee

Korea National University of Transportation

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

3
H-Index
3
Papers
14
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Formation Approach for Mobile Robots with Inaccurate Sensor Information
8 citations · 2001
📈 Most Prolific Year: 2001 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Korea National University of Transportation

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago