Papers
11
Total Citations
211
H-Index
7
About
Gerasimos Potamianos is a distinguished researcher specializing in multimodal perception, affective computing, and human-robot interaction, with a particular focus on child-robot interaction (CRI) systems. His work bridges computer vision, audio-visual processing, and social robotics to create intelligent systems capable of understanding human behavior in naturalistic, unconstrained environments. Among his most impactful contributions is his research on multi-cue affect recognition, where his 2019 paper on fusing body posture with facial expressions for joint affect recognition in child-robot interaction has garnered 78 citations, establishing him as a leading voice in emotion-aware robotics. His involvement in landmark projects such as ChildBot and Multi3 demonstrates his commitment to building robust, multi-sensory perception frameworks that enable robots to interact meaningfully with children in edutainment contexts. His contributions to "The Handbook of Multimodal-Multisensor Interfaces" further underscore his breadth across the field. Potamianos has consistently advanced action recognition, audiovisual emotion detection, object affordance reasoning, and incremental learning for adaptive robotic systems. His body of work reflects a coherent vision: enabling machines to perceive, interpret, and respond to human behavior across multiple modalities — a foundation essential for the next generation of socially intelligent robots.
Research Focus
Key Achievements
Top Papers
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- 3ChildBot: Multi-robot perception and interaction with children26 citations · 2021
- 4Multi- View Fusion for Action Recognition in Child-Robot Interaction21 citations · 2018
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- 7Joint Object Affordance Reasoning and Segmentation in RGB-D Videos7 citations · 2021
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