Panagiotis P. Filntisis
Papers
8
Total Citations
174
H-Index
6
About
Panagiotis P. Filntisis is a leading researcher in child-robot interaction (CRI), specializing in multi-modal perception systems that enable robots to understand and respond to children’s emotions, actions, and social cues. His work bridges computer vision, affective computing, and robotics, with a focus on fusing body posture with facial expressions for joint affect recognition—a contribution that has garnered 78 citations and set a benchmark for robust emotion sensing in noisy, real-world CRI scenarios. Filntisis has also pioneered multi-view and multi-sensory fusion techniques for action recognition, as seen in his highly cited papers on the ChildBot and Multi3 systems, which integrate audio, visual, and depth data to track children’s behavior across multiple robots. His far-field audio-visual perception work extends these capabilities to multi-party interactions involving both children and adults. Notably, Filntisis developed a robotic edutainment framework that simplifies robot programming for non-specialist educators, and his incremental learning system allows robots to adapt to new actions on the fly. With over 170 total citations, his research is instrumental in making social robots more perceptive, responsive, and accessible in educational and therapeutic settings.
Research Focus
Key Achievements
Top Papers
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- 2ChildBot: Multi-robot perception and interaction with children26 citations · 2021
- 3Multi- View Fusion for Action Recognition in Child-Robot Interaction21 citations · 2018
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