Hyoung Seok Kim

University of Ulsan

Papers

4

Total Citations

50

H-Index

4

About

Hyoung Seok Kim is a pioneering researcher in biomimetic underwater robotics, specializing in the design, optimization, and control of fish-like robots. His work focuses on developing efficient, silent, and agile autonomous underwater vehicles (AUVs) inspired by biological locomotion. Kim’s most significant contribution is the application of a hybrid **Genetic-Hill Climbing Algorithm** to optimize the propulsive velocity and smooth gait of three-joint carangiform fish robots, achieving maximum thrust with minimal energy expenditure. His seminal 2009 paper on this method has garnered 25 citations, establishing a foundational approach for bio-inspired robotic propulsion. He further advanced the field by designing **sliding mode controllers** for precise turning motion, addressing a critical challenge in maneuverability for biomimetic systems. Collectively, his work has accumulated over 50 citations, demonstrating its influence on the development of next-generation underwater robots that outperform traditional ROVs and AUVs in stealth and efficiency. Kim’s research bridges computational optimization and dynamic control, offering practical solutions for silent, flexible underwater exploration.

Research Focus

Key Achievements

4
H-Index
4
Papers
50
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Propulsive Velocity Optimization of 3-Joint Fish Robot Using Genetic-Hill Climbing Algorithm
25 citations · 2009
📈 Most Prolific Year: 2009 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Ulsan

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago