Nikos Dimitropoulos
Papers
9
Total Citations
149
H-Index
7
About
Nikos Dimitropoulos is a leading researcher in human-robot collaboration (HRC) and intelligent manufacturing systems, with a particular focus on applying advanced robotics and artificial intelligence to complex industrial environments. His work addresses some of the most pressing challenges in modern manufacturing, including safety in close-proximity human-robot interaction, autonomous task planning, and the integration of AI-driven perception systems. Dimitropoulos has made significant contributions to high-payload collaborative robotics, developing novel collision detection frameworks that enhance operator safety without sacrificing productivity. His research extends into demanding sectors such as shipbuilding and large-parts manufacturing, where he has pioneered HRC solutions that improve both ergonomics and efficiency. Notably, he has explored cutting-edge applications of generative AI and large multimodal models for automated task modelling, robot cognition, and trajectory prediction using infrared imaging — pushing the boundaries of autonomous robot behavior. With over 149 cumulative citations across his published work, his research has gained strong recognition within the robotics and Industry 4.0 communities. His contributions to virtual reality-based teleoperation for hazardous environments and AI-enhanced reconfigurable manufacturing further demonstrate the remarkable breadth and real-world relevance of his scholarship, making him an influential voice in next-generation human-robot collaborative systems.
Research Focus
Key Achievements
Top Papers
- 1Human Robot Collaboration in Industrial Environments32 citations · 2021
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- 6Generative AI and neural networks towards advanced robot cognition12 citations · 2024
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- 9A Human Robot Collaborative Cell for automating NDT inspection processes3 citations · 2022