Spyros Megalou
Papers
12
Total Citations
229
H-Index
9
About
Spyros Megalou is a researcher specializing in RFID localization, robotics, and wireless sensing systems, with a particular focus on integrating UHF RFID technology with autonomous robotic platforms. His most significant contribution lies in developing innovative methods for localizing passive RFID tags using mobile robots equipped with off-the-shelf RFID hardware, combining Simultaneous Localization and Mapping (SLAM) with sophisticated signal processing techniques such as phase unwrapping, non-linear optimization, and fingerprinting. His 2019 paper on phase unwrapping for RFID tag localization has garnered 67 citations, establishing it as a foundational reference in the field. Megalou has extended this work into three-dimensional localization using single antennas, trajectory planning, and phase-based fingerprinting for warehouse and retail inventory applications involving both ground robots and drones. More recently, he has explored neural network-driven hyperbolic positioning for tracking moving RFID-tagged objects using fixed antenna arrays, demonstrating a growing interest in machine learning integration. With over 220 cumulative citations across his publications, Megalou's research offers practical, scalable solutions for autonomous inventorying, asset tracking, and smart logistics environments, making his work highly relevant to both academic researchers and industry practitioners.
Research Focus
Key Achievements
Top Papers
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- 7Phase ReLock - Localization of RFID Tags by a Moving Robot13 citations · 2019
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