Papers

5

Total Citations

41

H-Index

3

About

Ilias T. Sarafis is a researcher at the intersection of robotics, artificial intelligence, and education, with a primary focus on educational robotics (ER) and machine vision. His work investigates how robotic systems can enhance learning experiences and automate industrial inspection. A key contribution is the development of deep learning methods for crack detection on marble surfaces, achieving 20 citations for a 2022 paper that addresses the critical challenge of automating defect detection in materials—a task traditionally prone to human error. Sarafis also explores the human-robot interaction in education, notably through studies on student expectations for ideal robotic platforms (13 citations) and the evaluation of a humanoid robot tutor named LINA in primary school classrooms. His research emphasizes learner-centered design, uncovering what students want from educational robots and how gamification and feedback mechanisms can boost engagement. By combining technical AI solutions with pedagogical insights, Sarafis contributes to making robots both more effective in industrial quality control and more appealing as learning companions. His work is particularly valuable for researchers and students interested in human-robot interaction, AI in education, and applied deep learning.

Research Focus

Key Achievements

3
H-Index
5
Papers
41
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Towards Robotic Marble Resin Application: Crack Detection on Marble Using Deep Learning
20 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: International Hellenic University, Democritus University of Thrace

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago