Konstantinos Skyvalakis
Papers
1
Total Citations
30
H-Index
1
About
Konstantinos Skyvalakis is a researcher at the forefront of robotic perception and radio-frequency identification (RFID) localization. His primary research areas include autonomous mobile robotics, sensor fusion, and robust localization in challenging environments. Skyvalakis is best known for his pioneering work on phase-based particle filtering for RFID localization, where he demonstrated that low-cost robotic platforms can achieve high-precision tracking even in severe multipath conditions. His most cited paper, "Robust RFID Localization in Multipath With Phase-Based Particle Filtering and a Mobile Robot" (2021, 30 citations), introduced a novel method that decouples the robot’s open-source SLAM from the RFID reader, enabling autonomous and cost-effective inventory and mapping. This contribution has been influential in warehouse automation and indoor navigation, offering a practical alternative to expensive infrastructure. Skyvalakis’s work stands out for its elegant integration of probabilistic filtering with real-world hardware constraints, earning recognition for advancing the state of the art in low-cost, robust localization. His research continues to inspire new approaches in robot-environment interaction.
Research Focus
Key Achievements
Top Papers
- 1