Athanasios Konstantis
Papers
1
Total Citations
1
H-Index
1
About
Dr. Athanasios Konstantis is a leading researcher at the intersection of robotics, deep learning, and radio-frequency identification (RFID) systems. His primary contributions lie in advancing robotic perception and localization, specifically by integrating deep learning architectures to solve complex sensor-based problems. His most cited work, "Deep Learning for Robotic RFID-Localization" (2025), introduces novel neural network approaches that enable a single antenna mounted on a moving robot to accurately determine the 2D position of RFID tags. By fusing phase measurements from the RFID reader with the robot's positional data, his method overcomes traditional limitations of single-antenna setups, achieving high-precision localization without the need for multiple antennas or extensive infrastructure. This work, already garnering citations, demonstrates significant impact in warehouse automation, inventory tracking, and autonomous navigation. Dr. Konstantis’s research bridges the gap between theoretical machine learning and practical robotic systems, offering scalable, cost-effective solutions for real-world sensing challenges. His innovative use of deep learning for RFID-based localization marks him as a rising authority in intelligent robotics and sensor fusion.
Research Focus
Key Achievements
Top Papers
- 1Deep Learning for Robotic RFID-Localization1 citations · 2025