Seung-kook Jun
Papers
8
Total Citations
116
H-Index
6
About
Seung-kook Jun is a robotics and biomedical engineering researcher whose work bridges two compelling domains: cable-driven robotic systems and computer-assisted surgical training. His most influential contributions have emerged from the intersection of automation, motion analysis, and healthcare technology, garnering over 100 cumulative citations across his published work. Jun's robotics research has significantly advanced the field of mobile cable robots, exploring how configuration redundancy and reconfigurable attachment points can be exploited to modulate stiffness and optimize tension distribution in planar systems. His 2014 paper on stiffness modulation via elastic cables demonstrated elegant solutions for tension control without relying on force sensors, opening new design pathways for flexible robotic platforms. Equally impactful is Jun's pioneering work in surgical skill assessment, where he developed automated, video-analysis-based motion studies to bring quantitative rigor to the traditionally subjective evaluation of robotic minimally invasive surgical performance. His most-cited paper in this area has accumulated 35 citations and helped lay the groundwork for objective, repeatable performance metrics in surgical training. Complementing this, his work on Kinect-based exercise individualization reflects a broader commitment to data-driven, cyber-physical approaches in clinical rehabilitation and smart health systems.
Research Focus
Key Achievements
Top Papers
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- 7Planar Cable Robot with Variable Stiffness6 citations · 2015
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