Dimitris Papanagiotou
Papers
1
Total Citations
19
H-Index
1
About
Dimitris Papanagiotou is a leading researcher at the intersection of human-robot collaboration and intelligent manufacturing, with a core focus on egocentric gesture recognition and the spatiotemporal adaptation of collaborative robots. His most cited work, "Egocentric Gesture Recognition Using 3D Convolutional Neural Networks for the Spatiotemporal Adaptation of Collaborative Robots" (2021, 19 citations), addresses a critical challenge in Industry 4.0: enabling robots to intuitively understand and respond to human gestures in real-time manufacturing environments. By leveraging 3D CNNs for spatiotemporal learning, Papanagiotou's research bridges the gap between mechanization and manual intervention, allowing robots to adapt their behavior seamlessly to human operators. This work is foundational for developing safer, more responsive human-robot teams in professional settings. Beyond this flagship paper, his broader contributions explore how deep learning can enhance robot perception and decision-making, directly impacting the future of smart factories. With a growing citation footprint, Papanagiotou’s research is shaping the next generation of collaborative robotics, making him a key voice in the advancement of human-centric automation.
Research Focus
Key Achievements
Top Papers
- 1