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About

Seok-Ju Lee is a leading researcher in the field of indoor mobile robotics, with a primary focus on cost-effective navigation and localization systems. His work centers on developing practical, reliable solutions for autonomous robots operating in indoor environments, leveraging a clever combination of sensor technologies. Lee’s major contributions involve the strategic integration of ultrasonic range sensors and QR-code-based artificial landmarks to solve the critical challenge of robot positioning. His most cited work, "Autonomous tour guide robot by using ultrasonic range sensors and QR code recognition in indoor environment" (46 citations), demonstrates a robust system for self-guided navigation. He further refined this approach in a subsequent study (32 citations) by validating QR-code localization against a high-precision 3D optical tracking instrument, proving its accuracy. Lee has also explored optimal ultrasonic sensor deployment strategies and the innovative use of smartphone sensors to enhance navigation reliability (21 citations). His research is particularly notable for its emphasis on affordability and accessibility, making advanced robotic capabilities viable for widespread commercial and service applications, such as tour guides and automated logistics.