Angelos Antikatzidis
Papers
2
Total Citations
3
H-Index
1
About
Angelos Antikatzidis is at the forefront of a transformative field: integrating Large Language Models (LLMs) with humanoid robotics to revolutionize early childhood education. His research uniquely bridges artificial intelligence and developmental psychology, focusing on how social robots like Softbank's NAO can enhance socio-emotional and cognitive learning in preschoolers. Antikatzidis’s pioneering work, such as his 2024 paper "Enrich Humanoids With Large Language Models," demonstrates how LLMs can make humanoid robots more adaptive and interactive, advancing the State-of-the-Art in Technology-Enhanced Learning (TEL). His 2025 study, "Evaluating the Correlation Between Social Robot NAO and Preschoolers' Socio-Emotional and Cognitive Skills," provides critical empirical evidence linking robot-assisted learning to improvements in emotional recognition, working memory, and phonological awareness. Though early in his career, his work has already garnered citations, signaling its growing influence. By proving that humanoids can serve as empathetic, intelligent assistants in classrooms, Antikatzidis is not just building smarter robots—he is reshaping how we nurture the cognitive and emotional foundations of the next generation.
Research Focus
Key Achievements
Top Papers
- 1Enrich Humanoids With Large Language Models (LLM)2 citations · 2024
- 2