Athanasios Anagnostis
University of Thessaly, Centre for Research and Technology Hellas
Papers
4
Total Citations
176
H-Index
4
About
Athanasios Anagnostis is a researcher specializing in human-robot interaction (HRI), machine learning-based activity recognition, and intelligent sensing systems, with a growing focus on agricultural robotics. His most impactful work centers on developing advanced frameworks that enable robots to perceive and respond to human behavior in real-world environments. His 2021 paper on human activity recognition using recurrent neural networks for agricultural HRI has garnered 101 citations, establishing him as a notable voice in the application of deep learning to collaborative robotics. Building on this foundation, his 2022 study on real-time hand gesture recognition further advanced natural human-machine communication in agricultural settings, accumulating 48 citations. Anagnostis has also contributed to wearable sensor technology, conducting field experiments with 20 participants to identify activity signatures in collaborative agricultural environments. Earlier in his career, he explored non-destructive testing of aircraft composite materials using infrared imaging, demonstrating a versatile technical background spanning aerospace inspection and intelligent systems. Collectively, his research bridges computer vision, wearable sensing, and autonomous robotics, making meaningful contributions toward safer and more efficient human-robot collaboration in demanding, real-world applications.
Research Focus
Key Achievements
Top Papers
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