Niki Efthymiou
Papers
11
Total Citations
217
H-Index
7
About
Niki Efthymiou is a leading researcher at the intersection of social robotics, computer vision, and human-robot interaction (HRI), with a particular focus on child-robot interaction (CRI). Her work addresses the fundamental challenge of enabling robots to perceive and respond to human affective and behavioral cues in natural, unconstrained environments. Efthymiou’s most significant contribution is her pioneering approach to multi-cue affect recognition, as demonstrated in her highly cited 2019 paper (78 citations), which fuses body posture with facial expressions for joint affect recognition in challenging CRI scenarios—a departure from traditional face-only methods. She has also developed multi-view action recognition systems (21 citations) and far-field audio-visual perception frameworks (17 citations) that allow robots to understand multi-party interactions involving both children and adults. Notably, her research extends to applied agricultural robotics, where she has tackled mushroom detection and 3D pose estimation from multi-view point clouds (25 citations), showcasing her versatility. Efthymiou’s work on engagement estimation for children with Autism Spectrum Disorder (14 citations) and her development of the ChildBot multi-robot perception system (26 citations) highlight her commitment to inclusive, real-world robotic applications. With over 200 total citations, her research continues to shape the future of socially aware robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2ChildBot: Multi-robot perception and interaction with children26 citations · 2021
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- 4Multi- View Fusion for Action Recognition in Child-Robot Interaction21 citations · 2018
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