Papers
9
Total Citations
159
H-Index
6
About
Jongil Lim is a robotics researcher whose work centers on indoor mobile robot navigation, localization, and cost-effective sensing strategies. His research has made meaningful contributions to the challenge of enabling robots to accurately determine their position and move autonomously within indoor environments — a problem of fundamental importance to modern robotics applications. Lim is perhaps best known for his innovative use of QR codes as artificial landmarks for indoor localization, most notably demonstrated in his 2014 paper on an autonomous tour guide robot (46 citations) and his 2015 work validating QR-code-based localization against a 3D optical tracking instrument (32 citations). These studies offered practical, low-cost alternatives to computationally expensive probabilistic methods. His parallel research on ultrasonic sensor deployment strategies and the repurposing of smartphone hardware as a robot's onboard brain (32 citations) further reflects his commitment to accessible, affordable robotic solutions. Lim has also explored vision-based localization for multiple mobile robots using low-cost camera systems, broadening the applicability of his localization frameworks. With over 150 cumulative citations across his published work, his research has proven genuinely influential among engineers and researchers tackling real-world indoor navigation challenges. His body of work stands as a valuable resource for anyone entering the field of autonomous mobile robotics.
Research Focus
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