Young Min Baek
The University of Tokyo, Bunkyo University, Seoul National University
Papers
10
Total Citations
193
H-Index
7
About
Young Min Baek is a pioneering researcher in robotic microsurgery, with a focus on master–slave robotic systems for ultra-precise neurosurgical and super-microsurgical applications. His most cited work, a 2012 study on a master–slave robotic platform for micro-neurosurgery (76 citations), established foundational methods for overcoming human dexterity limits and hand tremor under a microscope. Baek has made major contributions to visual tracking of surgical tools, developing robust, markerless forceps-tracking algorithms that fuse kinematic data with visual information—enabling high-level assistance like visual servoing and automated operations. His research also advances skill assessment for surgical robotic control, using infrared markers and inertial sensors to quantify microsurgical proficiency. Notably, Baek’s early work on emotional robots with personality-driven behavior models for children (2007–2008) demonstrates a broader interest in human–robot interaction. With over 200 total citations across his top papers, Baek’s impact lies in bridging robotics and microsurgery, creating systems that enhance surgeon capability and pave the way for automated, high-precision surgical interventions.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Microsurgical skill assessment: Toward skill-based surgical robotic control22 citations · 2011
- 4Highly precise master-slave robot system for super micro surgery17 citations · 2010
- 5
- 6Emotional head robot with behavior decision model and face recognition11 citations · 2007
- 7
- 8Study on master manipulator design parameters for robotic microsurgery7 citations · 2012
- 9
- 10Minimum-jerk trajectory generation for master-slave robotic system5 citations · 2012