Papers
5
Total Citations
37
H-Index
3
About
Minsung Sung is a leading researcher in marine robotics, specializing in autonomous underwater vehicles (AUVs), underwater manipulation systems, and sensor simulation technologies. His work addresses critical challenges in underwater automation, from structure maintenance to narrow-area operations. Sung's most impactful contribution is the development of a comprehensive AUV simulator integrating underwater acoustic and optical sensing emulators (16 citations), which has become a foundational tool for testing autonomous navigation and vision systems in realistic underwater environments. He also pioneered a parent-child underwater robot system (14 citations) for structure maintenance, where a larger AUV serves as a base to deploy a tethered child robot for precise manipulation tasks—a novel approach that enhances efficiency and safety in underwater repairs. Additionally, Sung has developed small agent vehicles for heavy-lift manipulation and remotely operated robots for movement in constrained spaces, with applications in nuclear decommissioning. His work on hydrodynamic modeling for mobile wave energy harvesting systems further demonstrates his versatility. With over 37 citations across his key publications, Sung's research is shaping the future of autonomous underwater operations, offering practical solutions for deep-sea exploration, infrastructure maintenance, and hazardous environment robotics.
Research Focus
Key Achievements
Top Papers
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- 3Development of Manipulation Purpose Small Agent Vehicle for UUVs3 citations · 2018
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