Papers

31

Total Citations

449

H-Index

13

About

Keum-Shik Hong is a prolific engineering researcher whose work spans robotics, control systems, and neural interfaces, with contributions that have meaningfully advanced both theoretical frameworks and practical applications. His early and influential work on PC-based open robot control systems laid foundational infrastructure for flexible, accessible robotic platforms, while his offline programming methodology for shipbuilding welding robots demonstrated a keen ability to translate control theory into industrial practice. Hong has made significant strides in autonomous navigation, developing predictive control strategies for nonholonomic vehicles and designing reactive architectures for mobile robots operating in dynamic environments. His research also extends into advanced control theory, with notable contributions to observer-based control of nonlinear systems under input saturation and event-triggered multi-agent consensus protocols. More recently, Hong has embraced the frontier of soft robotics, applying adaptive neural network control to compliant robotic arms, and explored cable-driven parallel systems for logistics automation. His 2018 review of motor-command decoding via peripheral nerve signals — amassing 63 citations — reflects his growing engagement with neuroprosthetics. Collectively, his portfolio, spanning over two decades and hundreds of citations, positions him as a versatile and enduring voice in modern robotics and intelligent systems research.

Research Focus

Key Achievements

13
H-Index
31
Papers
449
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
A PC-based open robot control system: PC-ORC
67 citations · 2001
📈 Most Prolific Year: 2005 (4 Papers)
🤝 Key Collaborators: 72
🏛 Institutions: Pusan National University, Jangheung Mushroom Industry Research, Qingdao University, Catholic University of Pusan

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago