Dafni Anagnostopoulou
Papers
2
Total Citations
39
H-Index
2
About
Dafni Anagnostopoulou is a researcher at the intersection of agricultural and social robotics, with key contributions in perception systems and human-robot interaction. Her work in agricultural robotics focuses on developing autonomous systems for precision farming, most notably through her highly cited 2023 paper on mushroom detection and 3D pose estimation from multi-view point clouds (25 citations). This research addresses the critical challenge of enabling robots to identify and locate mushrooms in industrial farms, advancing the efficiency of automated harvesting systems. In parallel, Anagnostopoulou has made significant strides in socially assistive robotics, particularly for children with Autism Spectrum Disorder (ASD). Her 2021 study on engagement estimation during child-robot interaction (14 citations) employs deep convolutional networks to monitor and interpret children’s engagement levels, enabling robots to adapt their behavior in real-time for educational and therapeutic purposes. This work bridges computer vision and developmental robotics, offering practical tools for creating more responsive and empathetic robotic systems. Anagnostopoulou’s research demonstrates a rare versatility, applying cutting-edge AI techniques to both agricultural productivity and inclusive human-robot interaction, with her work cited across robotics, computer vision, and assistive technology communities.
Research Focus
Key Achievements
Top Papers
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- 2