Younsu Kim
Papers
5
Total Citations
64
H-Index
5
About
Younsu Kim is a researcher at the intersection of robotics, medical imaging, and human-robot interaction. His work focuses on two key areas: developing robotic systems for ultrasound-guided medical interventions and designing teachable robots for educational applications. In medical robotics, Kim has pioneered low-cost ultrasound imaging systems using single-element transducers and delta configuration actuators, enabling point-of-care image-guided interventions. He has also developed innovative calibration methods, including multi-point phantoms and robot-assisted automatic calibration, which are critical for accurate tracking in computer-assisted procedures. His work on robotic ultrasound systems for catheter tracking with active piezoelectric elements addresses challenges in cardiac catheterization. In educational robotics, Kim's research on the effects of physical form and embodied action in teachable agents has shown that physical robots can better engage students in geometry learning compared to virtual agents. With over 64 citations across his most-cited works, Kim's contributions span from enabling affordable medical imaging to advancing robot-assisted learning, demonstrating the versatility of robotic systems in both clinical and educational settings.
Research Focus
Key Achievements
Top Papers
- 1Robot-assisted automatic ultrasound calibration18 citations · 2016
- 2
- 3
- 4Phantom with multiple active points for ultrasound calibration10 citations · 2018
- 5