Papers
47
Total Citations
866
H-Index
17
About
Petros Maragos is a leading researcher in human-robot interaction, multimodal signal processing, and assistive robotics, whose work sits at the compelling intersection of artificial intelligence and real-world human welfare. His research has made significant strides in developing intelligent robotic systems capable of understanding and responding to human behavior across multiple sensory modalities, including vision, audio, and body movement. Maragos is perhaps best recognized for his contributions to assistive robotics for vulnerable populations. His work on the I-Support bathing robot for elderly care and gesture-based human-robot interfaces has helped redefine how machines can serve aging and mobility-impaired individuals. His multimodal action recognition framework, which has garnered over 118 citations, exemplifies his commitment to building robust, context-aware robotic systems. Equally notable is his research on affect recognition in child-robot interaction, fusing facial expressions with body posture for richer emotional understanding (78 citations). Beyond eldercare, Maragos has explored human gait modeling, reinforcement learning for robotic rollators, multi-robot child interaction, and even agricultural robotics. His body of work, spanning over a decade, reflects a consistent dedication to creating adaptive, perceptive machines that meaningfully augment human capability and quality of life.
Research Focus
Key Achievements
Top Papers
- 1Multimodal human action recognition in assistive human-robot interaction118 citations · 2016
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- 7ChildBot: Multi-robot perception and interaction with children26 citations · 2021
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