N. Georgakarakos
Papers
1
Total Citations
3
H-Index
1
About
N. Georgakarakos is a researcher specializing in human-robot interaction, computer vision, and sign language recognition. Their most notable contribution lies in the development of gestural teleoperation systems, where they pioneered the use of visual recognition of static handshapes from Greek Sign Language (GSL) to control mobile robots. This work, published in their highly cited 2009 paper "Gestural teleoperation of a mobile robot based on visual recognition of sign language static handshapes," integrates linguistic modeling with robotic control, demonstrating a novel application of sign language data beyond communication. The research was conducted under the national project "DIANOEMA," which explored visual analysis and sign recognition techniques on GSL data. With 3 citations, this paper has influenced subsequent work in assistive robotics and gesture-based interfaces. Georgakarakos’s interdisciplinary approach bridges computer vision, linguistics, and robotics, offering a unique perspective on how sign language can serve as a natural interface for machine control. Their work remains a reference point for researchers exploring non-verbal human-robot interaction and accessible teleoperation systems.
Research Focus
Key Achievements
Top Papers
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