Jeong-Uk Lee

Papers

1

Total Citations

3

H-Index

1

About

Jeong-Uk Lee is a rising researcher in multi-robot systems, with a focus on formation planning and navigation in constrained environments. His most-cited work, "Multi-Robot Formation Planning in Maze-Like Environments Consisting of Narrow Passages Using Graph Search" (2024), addresses a critical challenge in robotics: enabling robot teams to maintain coordinated formations while traversing complex, cluttered spaces like mazes with tight corridors. By leveraging graph search algorithms, Lee’s approach allows robots to dynamically adapt their formation to navigate narrow passages without collision, a key advancement for applications in search-and-rescue, warehouse logistics, and exploration. Despite its recent publication, the paper has already garnered 3 citations, signaling early impact in the field. Lee’s contributions stand out for bridging theoretical graph theory with practical multi-robot coordination, offering scalable solutions for real-world environments. His work is particularly notable for its emphasis on maintaining relative positioning among robots—a fundamental requirement for tasks like cooperative mapping or object transport. As a researcher, Lee is establishing himself at the intersection of robotics and artificial intelligence, with potential for significant future influence in autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Multi-Robot Formation Planning in Maze-Like Environments Consisting of Narrow Passages Using Graph Search
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 1

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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