Papers

3

Total Citations

28

H-Index

3

About

Ockchul Kim is a pioneering researcher in the fields of surgical robotics and neural prosthetics, with a focus on developing minimally invasive sensors and interfaces. His major contributions include the creation of a fiber Bragg grating (FBG)-based shape sensor integrated with surgical robots, enabling precise, real-time shape tracking for minimally invasive procedures—a work that has garnered 16 citations and highlights his innovative approach to overcoming the limitations of conventional metal-rod-based sensors. In neural engineering, Kim has advanced peripheral neural interface (PNI) technology for robotic prostheses, designing novel electrode arrays that enhance neural signal selectivity while reducing tissue displacement. His 2017 paper on a neural interface electrode array (8 citations) and his 2020 work on a spirally arrayed electrode (4 citations) demonstrate his commitment to improving bidirectional communication between prosthetic limbs and the brain, addressing the critical trade-off between selectivity and invasiveness. Kim’s research is notable for its practical impact on surgical precision and prosthetic control, making him a key figure in bridging robotics and neural interfacing for real-world medical applications.

Research Focus

Key Achievements

3
H-Index
3
Papers
28
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
FBG-based polymer-molded shape sensor integrated with minimally invasive surgical robots
16 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Korea Institute of Science and Technology, Korea University of Science and Technology

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago