Stavroula Siachalou
Papers
10
Total Citations
202
H-Index
7
About
Stavroula Siachalou is a researcher specializing in the intersection of robotics, radio frequency identification (RFID) technology, and autonomous systems, with a particular focus on developing innovative methods for precise localization and mapping in complex environments. Her work has made significant contributions to the field of robotic RFID-based localization, introducing novel algorithms and frameworks that enable autonomous robots — both ground-based and aerial — to simultaneously map unknown environments and accurately pinpoint the positions of passive RFID tags using commercial off-the-shelf equipment. Among her most impactful contributions is her pioneering work on phase unwrapping and non-linear optimization techniques for RFID tag localization, which has garnered 67 citations, establishing her as a leading voice in the field. She has further advanced 3D localization capabilities using single-antenna systems and trajectory planning strategies, with multiple papers from 2019–2020 collectively accumulating over 160 citations. Her research has practical applications in warehouse management, retail inventory, and IoT systems. More recently, Siachalou has explored deep learning architectures to further enhance robotic RFID localization accuracy, demonstrating her commitment to pushing the boundaries of intelligent autonomous systems and their real-world deployment.
Research Focus
Key Achievements
Top Papers
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- 6Phase ReLock - Localization of RFID Tags by a Moving Robot13 citations · 2019
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- 10Deep Learning for Robotic RFID-Localization1 citations · 2025