Papers

12

Total Citations

69

H-Index

5

About

Hyun-Sik Kim is a robotics researcher whose work spans robot motion planning, autonomous marine and aerial systems, and intelligent control. His most influential contributions lie in the domain of optimal trajectory planning for robot manipulators, where he pioneered the application of evolution strategy — a nature-inspired optimization technique — to solve minimum-time trajectory problems under real-world kinematic and dynamic constraints. His early papers (2000, 2002), which together have garnered over 30 citations, demonstrated how cubic polynomial joint trajectories combined with sliding mode and fuzzy logic controllers could dramatically improve robotic efficiency and tracking performance. Beyond manipulator control, Kim expanded his research into autonomous mobile and marine robotics. His work on sensor fusion for mobile robot navigation, coordinated control of heterogeneous marine robots, and mobile manipulator task planning reflects a breadth of systems-level thinking. Notably, he contributed to educational robotics infrastructure through the development of practical robot kits — including underwater autonomous vehicles (2012) and balloon-based aerial robots (2013) — aimed at cultivating the next generation of robotics engineers. These efforts addressed a recognized gap in marine robot research and education in Korea. Across his career, Kim has consistently bridged theoretical optimization with deployable robotic systems, making meaningful contributions to both academic research and applied robotics.

Research Focus

Key Achievements

5
H-Index
12
Papers
69
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Optimal trajectory planning and sliding mode control for robots using evolution strategy
21 citations · 2000
📈 Most Prolific Year: 2002 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Agency for Defense Development, Robotic Technology (United States), Pusan National University, Tongmyong University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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