Papers
10
Total Citations
151
H-Index
7
About
Youdan Kim’s research lies at the intersection of robotics, autonomous systems, and medical device innovation, with a particular focus on multi-robot coordination and surgical automation. His most impactful work addresses the challenge of formation flight for multiple unmanned aerial vehicles (UAVs), where he developed algorithms enabling onboard sensor information sharing for coordinated area monitoring—a paper that has earned 34 citations and remains foundational in the field. In medical robotics, Kim has made significant contributions to minimally invasive surgery, including a grip force model for the da Vinci end-effector that predicts compensation forces (28 citations) and a pneumatic-type surgical robot end-effector for laparoscopic procedures (19 citations). He has also pioneered robot-assisted laser hair removal systems, demonstrating improved efficiency over physician-directed methods in comparative studies (11 citations). His work extends to autonomous electric wheelchairs with path planning algorithms tailored for hospital environments (20 citations), as well as novel mirror therapy systems using motion estimation. With over 150 total citations across his most-cited works, Kim’s research demonstrates a consistent focus on translating robotic technologies into practical, life-improving applications, from aerial surveillance to surgical precision and patient rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1Formation Flight of Multiple UAVs via Onboard Sensor Information Sharing34 citations · 2015
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- 3Path Planning Algorithm for an Autonomous Electric Wheelchair in Hospitals20 citations · 2020
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