About

Cheon-Hong Min is a leading researcher in deep seabed mining robotics, with a focus on the design, optimization, and autonomous control of underwater mining systems. His major contributions center on the reliability-based design optimization (RBDO) of critical components for manganese nodule pilot mining robots, particularly the pick-up device utilizing the Coandă effect—a topic that has garnered 51 citations. Min’s work also includes the development of statistical methods for identifying marginal and joint cumulative distribution functions from censored data, directly applied to RBDO for mining robots. He played a key role in the performance testing of nodule crushing equipment for the deep seabed mining robot “MineRo,” ensuring efficient slurry flow in lifting systems, and conducted experimental studies on pressure compensation oil compressibility to enhance underwater vehicle design. Additionally, Min has contributed to the operating systems and path tracking control of pilot mining robots, enabling autonomous navigation with constant ground speed. His research, supported by the Korea Research Institute of Ships and Ocean Engineering (KRISO), has advanced the structural safety and hydraulic system design for deep-seabed lifting pumps, making him a pivotal figure in the field of underwater robotics and offshore engineering.

Research Focus

Key Achievements

4
H-Index
8
Papers
82
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Reliability-based design optimization of a pick-up device of a manganese nodule pilot mining robot using the Coandă effect
51 citations · 2019
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: Korea Research Institute of Ships and Ocean Engineering, Hanyang University, Korea Institute of Ocean Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago