Papers
24
Total Citations
407
H-Index
10
About
Seung‐Mok Lee is a robotics and autonomous systems researcher whose work spans indoor localization, multi-robot coordination, structural health monitoring, and marine robotics. He is perhaps best known for his contributions to simultaneous localization and mapping (SLAM), particularly leveraging ambient magnetic fields and radio sources for GPS-denied indoor environments, a paper that has garnered 78 citations and remains influential in the field. His structural health monitoring research introduced paired structured light techniques for displacement measurement in civil infrastructure, earning 65 citations and offering a practical alternative to costly conventional sensor installations. Lee has made significant strides in multi-robot systems, developing model predictive control frameworks — including receding horizon particle swarm optimization and cooperative coevolutionary algorithms — that guarantee asymptotic stability and collision-free formation control, each accumulating over 40 citations. His work continues to evolve, with recent contributions in formation reconfiguration control published as recently as 2023. Among his most distinctive achievements is the development of JEROS, an autonomous jellyfish removal robot system addressing the ecological and economic threats posed by jellyfish blooms — a creative application of robotics to real-world environmental challenges. Across his career, Lee exemplifies how foundational robotics research can be translated into practical, impactful solutions.
Research Focus
Key Achievements
Top Papers
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- 2Paired Structured Light for Structural Health Monitoring Robot System65 citations · 2010
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- 5DV-SLAM (Dual-Sensor-Based Vector-Field SLAM) and Observability Analysis36 citations · 2014
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- 9JEROS: Jellyfish Removal Robot System11 citations · 2012
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