Papers
1
Total Citations
3
H-Index
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About
Joon Hee Kim is a robotics researcher specializing in autonomous navigation and perception for specialized mobile robots, with a particular focus on solar panel maintenance systems. His work bridges computer vision, sensor fusion, and localization algorithms to enable precise self-driving capabilities in constrained environments. In his most cited paper, "Localization of solar panel cleaning robot combining vision processing and extended Kalman filter" (2024, 3 citations), Kim introduced a novel method for estimating the position of a self-driving solar panel-cleaning robot. By fusing line counts from image processing—leveraging the 16 cm panel width as a natural fiducial—with wheel encoder data and inertial sensors, his approach achieves robust localization without expensive external infrastructure. This contribution addresses a critical bottleneck in solar farm automation: enabling reliable, low-cost navigation for cleaning robots that must operate on slippery, reflective surfaces. Kim’s work demonstrates how classical estimation techniques like the extended Kalman filter can be effectively combined with modern vision processing to solve real-world industrial challenges. His research is particularly valuable for students and engineers interested in field robotics, sensor fusion, and the practical deployment of autonomous systems in renewable energy infrastructure.
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Top Papers
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