Papers
2
Total Citations
5
H-Index
1
About
Jungmo Koo is a robotics researcher whose work spans autonomous systems, marine robotics, and computer vision for navigation. His most notable contribution is the development of a jellyfish reconnaissance and removal robot system, integrating unmanned aerial and surface vehicles (UAV and USV) to address the ecological and economic threat of jellyfish overpopulation. This pioneering system, published in 2015, has garnered 4 citations and laid groundwork for autonomous marine environmental management. More recently, Koo has advanced indoor navigation with a 2024 paper on real-time Bird’s-Eye-View (BEV) panoptic segmentation for monocular-based systems. This work tackles the critical challenge of generating training data for dynamic indoor environments, enabling safer and more efficient autonomous driving in spaces shared with people and robots. By bridging outdoor marine robotics and indoor perception, Koo demonstrates versatility in applying autonomous solutions across domains. His research is particularly relevant for students and researchers interested in field robotics, environmental monitoring, and perception systems for unstructured environments.
Research Focus
Key Achievements
Top Papers
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