Suk Min Yoon
Papers
1
Total Citations
15
H-Index
1
About
Suk Min Yoon is a researcher specializing in autonomous robotics and coverage path planning, with a particular focus on deep-sea mining systems operating in extreme environments. His most notable contribution centers on the development of intelligent navigation strategies for manganese nodule mining robots designed to operate at depths of approximately 5,000 meters on the seafloor — one of the most technically challenging environments for robotic systems. In his 2011 paper, "A Study of Sweeping Coverage Path Planning Method for Deep-Sea Manganese Nodule Mining Robot," Yoon tackled the complex problem of efficiently sweeping two-dimensional seafloor areas, a critical capability for making commercial deep-sea mining viable. This work, which has garnered 15 citations, addresses a key technological bottleneck in the emerging field of deep-sea resource extraction, where precise and complete area coverage directly impacts the economic feasibility of mining operations. Yoon's research sits at a compelling intersection of robotics, marine engineering, and resource technology, contributing foundational methodologies that inform both academic inquiry and real-world applications in the increasingly relevant domain of subsea resource exploration and autonomous underwater vehicle navigation.
Research Focus
Key Achievements
Top Papers
- 1