Young Eun Song

Pusan National University, The University of Tokyo

Papers

Total Citations

H-Index

About

Young Eun Song is a pioneering researcher in surgical robotics and human-robot interaction, whose work bridges the gap between haptic feedback and intuitive teleoperation. Her most influential contribution, the 2010 paper "Reaction force estimation of surgical robot instrument using perturbation observer with SMCSPO algorithm" (36 citations), addresses a critical challenge in minimally invasive surgery: estimating tool-tissue interaction forces without physical sensors. By developing a sensorless force estimation method using a sliding mode control with sliding perturbation observer (SMCSPO), Song enabled safer, more precise surgical robot control despite size and sterility constraints. This work has significant implications for haptic feedback in robotic surgery, allowing surgeons to "feel" forces remotely. Song further advanced multimodal interfaces through her 2012 and 2013 studies on gesture-based virtual collaboration and haptic point cloud rendering, proposing systems that combine human gestures with virtual environments for intuitive teleoperation. While her citation counts reflect a focused, early-career impact, her force estimation technique remains foundational for sensorless haptics in surgical robotics—a field where even incremental improvements in safety and dexterity can transform patient outcomes. Her research continues to influence the design of more responsive, human-centered robotic systems.