George Mylonopoulos
Papers
1
Total Citations
5
H-Index
1
About
George Mylonopoulos is a researcher at the forefront of robotic perception and RFID-based localization systems. His work centers on developing intelligent algorithms that enable robots to autonomously detect, track, and follow moving targets using radio-frequency identification technology. In his most-cited paper, "Localization, Tracking and Following a Moving Target by an RFID Equipped Robot" (2021), Mylonopoulos introduced a prototype direction-finding algorithm that leverages phase measurements from two front-facing antennas to precisely follow a moving tag. This contribution addresses a critical challenge in human-robot interaction and warehouse automation, where reliable, low-cost tracking is essential. With 5 citations, his work is gaining traction among researchers in sensor fusion and mobile robotics. Mylonopoulos’s research is particularly notable for its practical approach to integrating passive RFID tags—typically used for identification—into real-time navigation and control systems. His work lays important groundwork for applications in logistics, assistive robotics, and smart environments, where robots must seamlessly interact with moving objects or people.
Research Focus
Key Achievements
Top Papers
- 1