Aristotelis C. Tagarakis
Centre for Research and Technology Hellas, University of Novi Sad
Papers
9
Total Citations
260
H-Index
7
About
Aristotelis C. Tagarakis is a prominent researcher at the intersection of agricultural robotics, human–robot interaction (HRI), and precision agriculture. His work focuses on developing intelligent, safe, and collaborative systems that integrate autonomous robots into real-world farming environments, with a particular emphasis on human activity recognition (HAR) and environmental mapping. Tagarakis has made significant contributions to the field by applying advanced machine learning techniques — including recurrent neural networks and Long Short-Term Memory models — to recognize and predict human behavior in agricultural settings, enabling safer human–robot collaboration. His most-cited work, "Human Activity Recognition through Recurrent Neural Networks for Human–Robot Interaction in Agriculture" (2021), has garnered over 100 citations, underscoring its foundational impact. His systematic review of HRI in agriculture (2023, 54 citations) has further established him as a key synthesizer of this rapidly evolving domain. Beyond interaction, Tagarakis has pioneered 3D mapping of orchard environments using UAV and UGV platforms and explored explainable AI to improve transparency in automated decision-making. His earlier work on precision agriculture adoption in Serbia reflects a broader commitment to translating technology into practical agricultural benefit. Across his portfolio, Tagarakis consistently bridges cutting-edge robotics research with real-world farming applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Human–Robot Interaction in Agriculture: A Systematic Review54 citations · 2023
- 3Proposing UGV and UAV Systems for 3D Mapping of Orchard Environments48 citations · 2022
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- 7Opportunities for Precision Agriculture in Serbia10 citations · 2018
- 8
- 9Sensors and Robotics for Digital Agriculture4 citations · 2023