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About

Jungmin Kim is a robotics researcher whose work centers on mobile robot localization, control, and industrial automation. His key contributions lie in developing intelligent navigation systems for omnidirectional and welding robots. Kim’s most cited paper, “Driving control of mobile robot with Mecanum wheel using fuzzy inference system” (27 citations), introduces a fuzzy logic-based approach for precise omnidirectional driving in confined spaces, addressing a critical challenge in warehouse and factory automation. He has also advanced sensor fusion for localization, as seen in “An accurate localization for mobile robot using extended Kalman filter and sensor fusion” (24 citations), which combines ultrasonic satellites with inertial navigation to achieve sub-100 mm accuracy—a significant improvement for autonomous mobile robots. In simultaneous localization and mapping (SLAM), Kim applied particle filters with laser range finders (13 citations), enhancing pose correction in real-world environments. Notably, his work on a portable welding robot (3 citations) demonstrates practical impact: a lightweight, 17.3 kg manipulator with 5 degrees of freedom, designed for shipbuilding double-hull welding. This innovation highlights Kim’s ability to bridge theoretical robotics with tangible industrial solutions, making his research valuable for students and engineers working on autonomous navigation and manufacturing automation.