Papers
4
Total Citations
115
H-Index
3
About
Hoseok Song is a biomedical robotics researcher whose work sits at the intersection of surgical robotics, force sensing, and minimally invasive surgery (MIS). His most significant contributions center on developing innovative sensing systems that restore critical force feedback to surgeons operating in robotic and minimally invasive environments — a challenge that has long limited the safety and precision of such procedures. Song is best known for pioneering the application of Fiber Bragg Grating (FBG) optical sensors to surgical robotics. His landmark 2011 paper on FBG force-reflection sensor systems for minimally invasive robotic surgery (MIRS) has garnered 46 citations, establishing him as a key contributor to haptic feedback solutions in robotic surgery. Alongside this, his work on FBG-based force measurement systems traces a clear research trajectory dating back to 2009, demonstrating sustained focus in this niche. Beyond sensing, Song has also contributed to surgical manipulator design. His 2011 proposal of a workspace-conversion surgical manipulator — capable of supporting both MIS and open surgery in resource-limited settings such as battlefields and rural areas — earned 39 citations and highlights his commitment to accessible, adaptable surgical technology. Collectively, his research has meaningfully advanced the safety and versatility of next-generation robotic surgery systems.
Research Focus
Key Achievements
Top Papers
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