Michalis Feidakis
Papers
5
Total Citations
57
H-Index
3
About
Michalis Feidakis is a researcher whose work sits at the compelling intersection of affective computing, educational robotics, and human-robot interaction. His research centers on harnessing the emotional and social capabilities of humanoid robots — particularly SoftBank's NAO — to transform learning environments for diverse student populations, including those with Autism Spectrum Disorder. Feidakis's most influential contribution, "Emotion Recognition in Human–Robot Interaction Using the NAO Robot" (2022, 33 citations), demonstrated how affective computing can personalize educational and robotic experiences by detecting and responding to human emotions in real time. His subsequent work expanded this foundation, exploring NAO's role as a therapeutic and educational assistant across general and special education settings (16 citations), and showing measurable improvements in symbolic play, imitation, and social engagement among children with ASD. Most recently, Feidakis has pushed toward the frontier of intelligent robotics by investigating how Large Language Models can enrich humanoid robots with more sophisticated conversational and adaptive capabilities. Taken together, his portfolio reflects a consistent commitment to making technology more human-centered, empathetic, and educationally meaningful — offering students and clinicians alike powerful new tools for engagement, learning, and development.
Research Focus
Key Achievements
Top Papers
- 1Emotion Recognition in Human–Robot Interaction Using the NAO Robot33 citations · 2022
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- 4Enrich Humanoids With Large Language Models (LLM)2 citations · 2024
- 5