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About

Yuuki Ota is a researcher whose work has advanced the practical use of passive RFID tags for spatial localization and robotics. His primary research areas include RFID-based position estimation, mobile robot navigation, and environmental sensing. Ota’s major contributions lie in developing novel methods to accurately determine the location of passive RFID tags—a critical challenge since these tags lack onboard power. His most cited paper, "A Multi-Sensing-Range Method for Position Estimation of Passive RFID Tags" (2008, 25 citations), introduced a technique that leverages multiple communication ranges to improve localization precision. He further refined this approach with the "Adaptive Likelihood Distribution Algorithm" (2007, 8 citations), enabling mobile robots to dynamically interpret tag signals for real-time navigation. Ota also proposed the "Communication Range Recognition (CRR) Scheme" (2010, 2 citations), a novel framework for spatial localization that enhances a robot’s ability to map its surroundings using RFID readers. While his citation counts are modest, his work represents foundational steps in integrating passive RFID into autonomous systems, with applications ranging from warehouse logistics to assistive navigation for pedestrians. Ota’s research continues to influence the development of low-cost, scalable localization solutions.