Papers
9
Total Citations
61
H-Index
5
About
Georgios Th. Papadopoulos is a leading researcher at the intersection of human-robot collaboration, multi-agent systems, and cognitive AI architectures. His work fundamentally advances how humans and robots can work together in complex, real-world environments—from recycling plants to agricultural fields. Papadopoulos has made major contributions to Learning from Demonstration (LfD), developing open and expandable cognitive AI frameworks that enable large-scale, multi-agent robotic learning with long-term autonomy. He pioneered a hybrid human-robot collaborative environment for recycling electrical and electronic equipment (16 citations), demonstrating practical applications of his theories. His research on user profile-driven multi-agent learning in federated environments (9 citations) and distributed maze exploration using optimal goal assignment (6 citations) has pushed the boundaries of autonomous robotic coordination. Papadopoulos also co-authored a comprehensive survey on hand gesture recognition from visual input (16+ citations), a foundational resource for human-computer interaction. His recent work extends into digital farming and field robots for sustainable agriculture, showcasing the breadth of his impact. With publications spanning from 2017 to 2025, Papadopoulos continues to shape the future of collaborative robotics and intelligent automation.
Research Focus
Key Achievements
Top Papers
- 1Survey on Hand Gesture Recognition From Visual Input16 citations · 2025
- 2
- 3
- 4
- 5
- 6Survey on Hand Gesture Recognition from Visual Input4 citations · 2025
- 7Multi-robot maze exploration using an efficient cost-utility method2 citations · 2024
- 8Web Robot Detection in Academic Publishing2 citations · 2017
- 9