Vasiliki Drakaki

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About

Vasiliki Drakaki is a leading researcher in the intersection of robotics, radio-frequency identification (RFID), and real-time localization systems. Her primary contributions focus on developing innovative methods for the precise, three-dimensional tracking of RFID-tagged objects using mobile robots. In her most-cited work, "Real-Time, Robot-Based, 3D Localization of RFID Tags, by Transforming Phase Measurements to a Linear Optimization Problem" (2021, 23 citations), she introduced a groundbreaking prototype that enables a robot to simultaneously localize itself and map its environment (SLAM) while accurately pinpointing tagged items. By transforming complex phase measurements into a linear optimization problem, her approach achieves fast, reliable 3D localization—a critical advancement for logistics, warehouse automation, and smart manufacturing. This work demonstrates her ability to merge theoretical optimization with practical robotic systems, offering a scalable solution for real-world tracking challenges. Drakaki’s research has significant implications for enhancing efficiency in inventory management and autonomous navigation, positioning her as a key innovator in applied robotics and sensor fusion. Her contributions continue to inspire further exploration in real-time, robot-based sensing technologies.