D. Kaliakatsos-Georgopoulos
University of Patras, Research Academic Computer Technology Institute
Papers
4
Total Citations
22
H-Index
3
About
D. Kaliakatsos-Georgopoulos is a researcher advancing the frontiers of intelligent manufacturing and human-robot collaboration. Their work centers on three key areas: physics-based digital twin modelling, reconfigurable manufacturing systems, and safe human-robot interaction. A major contribution is the development of high-fidelity digital twins for industrial robots, incorporating non-linear phenomena like gearbox friction to dramatically improve simulation accuracy—a critical enabler for Industry 4.0 control, safety, and predictive maintenance. This work has already garnered 11 citations since 2023. They also pioneered the concept of Human-overhead Robot Interaction (HoRI), designing a dedicated framework for safe cooperation between workers and overhead robotic structures in challenging environments like the copper industry. Furthermore, their research on Reconfigurable Manufacturing Systems leverages AI and intelligent workpiece handling to address the complexities of mass customization and small-batch production. To enhance industrial reliability, they have developed a novel prediction assessment methodology for remaining useful life in maintenance applications, combining physics-based models with prognostics. Through these contributions, Kaliakatsos-Georgopoulos is shaping the future of smart, adaptive, and human-centric manufacturing.
Research Focus
Key Achievements
Top Papers
- 1Physics-based modelling of robot’s gearbox including non-linear phenomena11 citations · 2023
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