Emmanouil Andrianakis

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About

Emmanouil Andrianakis is a researcher specializing in radio-frequency identification (RFID) localization, mobile robotics, and autonomous navigation. His major contributions lie in developing robust, low-cost localization systems that leverage phase-based measurements to overcome challenges like multipath interference. His most cited work, "Robust RFID Localization in Multipath With Phase-Based Particle Filtering and a Mobile Robot" (2021, 30 citations), introduces an innovative approach that integrates an RFID reader with an open-source SLAM-equipped robotic platform. This method enables autonomous, high-precision tag localization without requiring prior knowledge of the robot’s position, significantly improving reliability in complex indoor environments. Andrianakis’s research bridges the gap between theoretical signal processing and practical robotic deployment, offering scalable solutions for inventory tracking, logistics, and smart environments. His work is notable for its emphasis on accessibility and reproducibility, using low-cost hardware and open-source software. With a growing citation record, Andrianakis continues to influence the fields of RFID sensing and mobile robotics, inspiring further exploration into autonomous, sensor-driven localization systems.