Traianos V. Yioultsis
Papers
14
Total Citations
291
H-Index
10
About
Traianos V. Yioultsis is a prominent researcher specializing in robotics-assisted RFID localization, autonomous systems, and applied electromagnetic sensing. His work sits at the intersection of radio-frequency identification technology, simultaneous localization and mapping (SLAM), and intelligent robotic platforms, with a particular focus on enabling precise, real-time spatial awareness in complex environments such as warehouses and retail spaces. Yioultsis's most significant contributions center on developing innovative algorithms for localizing passive RFID tags using mobile robots. His landmark 2019 paper on phase unwrapping and non-linear optimization garnered 67 citations and established a foundational framework that his subsequent research has consistently built upon. He pioneered the "Phase ReLock" methodology, extending it progressively from 2D single-antenna configurations to full 3D multi-antenna synthetic aperture approaches, demonstrating remarkable versatility and depth of inquiry. His 2021 multi-antenna SAR-based method (42 citations) and trajectory-planning innovations for single-antenna 3D localization (34 citations) further cemented his reputation as a leader in this niche. Across his body of work, Yioultsis has consistently emphasized practical deployment using commercial off-the-shelf equipment, bridging theoretical advances with real-world applicability. With over 268 cumulative citations, his research has meaningfully advanced autonomous inventory management and indoor localization systems, making him an influential figure for students and researchers in robotics and smart sensing technologies.
Research Focus
Key Achievements
Top Papers
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- 8Phase ReLock - Localization of RFID Tags by a Moving Robot13 citations · 2019
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