Papers
13
Total Citations
111
H-Index
5
About
Maria Dagioglou is a leading researcher in human-robot interaction (HRI), with a focus on making robots accessible, adaptive, and beneficial for everyday life—particularly in assisted living and domestic environments. Her work centers on three interconnected areas: interactive robot learning, unobtrusive health monitoring, and human intention recognition for safe collaboration. Dagioglou’s major contributions include pioneering adaptive robot-assisted therapy through interactive reinforcement learning (27 citations), where robots adjust their behavior in real-time based on user feedback, and developing the RADIO framework for modular, reliable robotic support for independent aging (20 citations). She has also advanced methods for grounding word meanings through vision and gameplay (19 citations), enabling non-experts to teach robots about objects without programming. Her research on smoothing human movements from single RGB-D cameras (10 citations) and handling vision noise in teleoperation (6 citations) directly addresses practical barriers to deploying robots in homes. Dagioglou’s work on evaluating markerless pose estimation (5 citations) and real-time human intention prediction (5 citations) further enhances safe human-robot collaboration. Through these innovations, she is shaping a future where robots are intuitive, unobtrusive partners in healthcare and daily living.
Research Focus
Key Achievements
Top Papers
- 1Adaptive Robot Assisted Therapy Using Interactive Reinforcement Learning27 citations · 2016
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- 3Grounding the meaning of words through vision and interactive gameplay19 citations · 2015
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- 6I Spy: An Interactive Game-Based Approach to Multimodal Robot Learning5 citations · 2015
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