Yong-Ki Yoon

Old Dominion University, Whirlpool (United States), Bahçeşehir University

Papers

Total Citations

105

H-Index

About

Yong-Ki Yoon is a pioneering researcher at the intersection of robotics and precision medicine, whose work has fundamentally advanced the field of automated dental surgery. His primary research areas include image-guided robotics, surgical automation, and control systems for nonholonomic mobile robots. Yoon’s most significant contributions lie in developing automated image-guided systems for dental implantation, where he addressed the critical challenge of translating pre-operative planning into surgical reality. His landmark 2011 paper on automated dental implantation using image-guided robotics, with 66 citations, established foundational registration techniques that dramatically improved surgical accuracy. This work was further refined in his 2014 study on automated surgery for common and complex dental implants (36 citations), which demonstrated how robotic systems could overcome the inherent imprecision of manual drilling procedures. Beyond dental applications, Yoon has also contributed to the broader robotics field through model-based control approaches for nonholonomic mobile robots, showcasing his versatility in addressing complex automation challenges. His research has been instrumental in transforming dental implantation from a manual art into a precise, reproducible procedure, with direct implications for improving patient outcomes and surgical efficiency.