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
Top Papers
- 1A PC-based open robot control system: PC-ORC67 citations · 2001
- 2Motor-commands decoding using peripheral nerve signals: a review63 citations · 2018
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- 8A Cable-driven Parallel Robot for High-rack Logistics Automation15 citations · 2024
- 9Model Reference Adaptive Control of a Cantilevered Flexible Beam15 citations · 2003
- 10PC-based off-line programming using VRML for welding robots in shipbuilding15 citations · 2005