Fotini Patrona

Papers

Total Citations

H-Index

About

Fotini Patrona is a researcher at the forefront of human-robot interaction, specializing in autonomous systems and gesture-based control. Her work focuses on enabling seamless communication between humans and machines, particularly through the development of intuitive hand gesture languages for unmanned aerial vehicles (UAVs). In her highly cited 2021 paper, "An Overview of Hand Gesture Languages for Autonomous UAV Handling" (22 citations), she systematically analyzed how camera-equipped drones can interpret human gestures to achieve dynamic cooperation, a critical step toward integrating autonomous systems into daily life. Patrona further advanced the field with her work on "Self-Supervised Convolutional Neural Networks for Fast Gesture Recognition in Human-Robot Interaction" (5 citations), where she addressed the growing need for efficient HRI methods in applications ranging from self-driving cars to consumer robots. By combining self-supervised learning with convolutional neural networks, she has contributed to making gesture recognition faster and more practical for real-world deployment. Her research is paving the way for a future where autonomous systems can collaboratively assist humans with unprecedented ease and naturalness.