Joon-Yeon Cho

Korea Advanced Institute of Science and Technology

Papers

Total Citations

H-Index

About

Joon-Yeon Cho is a researcher whose work sits at the intersection of robotics, medical imaging, and orthopedic surgery. His primary research focus is on improving the precision and safety of robot-assisted surgical systems, particularly for knee arthroplasty. Cho’s major contribution lies in the development and verification of registration methods that align preoperative 3D models with the actual surgical site using laser scanners. This process is critical for ensuring that robotic milling of the implant cavity is accurate, which directly impacts implant longevity and patient outcomes. His 2011 paper on this topic, while having a modest citation count, addresses a foundational challenge in the field: the need for reliable, non-invasive registration techniques to bridge the gap between digital planning and physical execution. By tackling this core problem, Cho’s work supports the broader goal of making robotic knee surgery more precise and clinically viable. His research is particularly valuable for students and engineers interested in the practical application of computer vision and robotics in high-stakes medical environments.