Papers
2
Total Citations
14
H-Index
2
About
Jun-Sik Kim’s research bridges computer vision and robotics, with a focus on precise geometric calibration and autonomous systems for real-world challenges. His early work introduced a novel camera calibration method using concentric circles, establishing an invariant property to accurately determine projected circle centers—a contribution foundational to robotic perception and 3D reconstruction. This paper, “A new camera calibration method for robotic applications” (2002), has garnered 11 citations, reflecting its lasting relevance in the field. More recently, Kim addressed pressing societal needs during the COVID-19 pandemic by developing the UTD-pro, a non-contact delivery robot designed for isolated facilities. His 2023 paper on this system, cited 3 times, details a flexible control and task manager that reduces infection risks for medical staff while automating logistics in quarantine zones. This work demonstrates his ability to translate technical expertise into impactful, human-centered solutions. Kim’s career exemplifies a blend of foundational geometric theory and applied robotics, making him a notable contributor to both academic research and practical innovation in autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1A new camera calibration method for robotic applications11 citations · 2002
- 2