Socratis Gkelios
Papers
2
Total Citations
5
H-Index
2
About
Socratis Gkelios is a researcher at the intersection of educational technology and autonomous systems, making notable contributions to both educational robotics and multi-robot coordination. His work in educational robotics explores how principles of human perception, such as the Gestalt similarity principle, can be integrated into robotic teaching tools to enhance learning outcomes, demonstrating how gamified activities with robots can increase student engagement and improve the effectiveness of the educational process. In parallel, Gkelios addresses critical challenges in multi-UAV operations, focusing on Coverage Path Planning (CPP) for groups of drones. His research optimizes the initial positioning of UAVs to significantly reduce both energy consumption and mission duration, a vital advancement for applications like search-and-rescue, environmental monitoring, and precision agriculture. With his most cited works accumulating early citations—including 3 citations for his 2022 educational robotics study and 2 for his 2024 UAV optimization paper—Gkelios is establishing a promising, interdisciplinary career that bridges human-centered learning design with efficient, real-world autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Educational Robotics in the Service of the Gestalt Similarity Principle3 citations · 2022
- 2