Papers
12
Total Citations
78
H-Index
5
About
Georgios Angelopoulos is a leading researcher in human-robot interaction (HRI), specializing in making autonomous robots more socially aware, transparent, and acceptable in shared human environments. His work focuses on three key areas: legible robot navigation using non-verbal and acoustic cues, transparent learning processes through emotional behaviors and inner speech, and secure teleoperation of humanoid robots for hazardous environments. Angelopoulos’s most cited paper, “You Are In My Way: Non-verbal Social Cues for Legible Robot Navigation Behaviors” (28 citations), demonstrates how robots can use social signals to navigate narrow spaces safely and politely alongside humans. He has also pioneered methods for measuring and fostering transparency in intelligent robots, notably through his work on “Measuring Transparency in Intelligent Robots” (2024) and using Theory of Mind for explanations to mitigate false beliefs in collaboration. His contributions to secure cloud-brained humanoid robots for rescue scenarios during the COVID-19 pandemic highlight the real-world impact of his research. With a growing body of work spanning over 70 citations, Angelopoulos is shaping the future of socially intelligent and trustworthy robots.
Research Focus
Key Achievements
Top Papers
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- 3Familiar Acoustic Cues for Legible Service Robots7 citations · 2022
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- 6Social Robots Personalisation4 citations · 2023
- 7Measuring Transparency in Intelligent Robots4 citations · 2024
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