Papers
36
Total Citations
651
H-Index
13
About
Angelos Amanatiadis is a versatile robotics researcher whose work spans educational robotics, autonomous systems, social robot interaction, and computer vision. He is perhaps best known for his landmark 2020 survey on Educational Robotics — accumulating 172 citations — which reframed how scholars and practitioners understand platforms, competitions, and learning outcomes in robot-assisted education. His sustained interest in this domain is further demonstrated through studies on tangible robots for teaching algorithmic thinking and sequencing, reflecting a commitment to making computational concepts accessible to young learners. A distinctive thread in Amanatiadis's research is the therapeutic application of social robots in special education, particularly for children with autism spectrum conditions. His work explores multi-robot engagement, dynamic interactions, and carefully designed social games to improve communication, joint attention, and cognitive flexibility — contributions backed by dozens of citations and real clinical relevance. Beyond education, Amanatiadis has made notable contributions to autonomous mobile robotics, including multi-objective exploration strategies, multisensor indoor localization for biped robots, and the AVERT multi-robot vehicle extraction system. His earlier work on stereo vision hardware architectures and particle filter-based matching further demonstrates his strong foundations in embedded perception and intelligent systems — making him a genuinely multidisciplinary figure in modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1Educational Robotics: Platforms, Competitions and Expected Learning Outcomes172 citations · 2020
- 2Interactive social robots in special education45 citations · 2017
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- 4Introducing Algorithmic Thinking and Sequencing Using Tangible Robots36 citations · 2021
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- 10Multi-robot engagement in special education: A preliminary study in autism22 citations · 2018