Angelos Argyrou
Papers
4
Total Citations
71
H-Index
4
About
Angelos Argyrou is a leading researcher at the intersection of Augmented Reality (AR) and Human-Robot Collaboration (HRC), whose work is pioneering safer, more intuitive industrial assembly environments. His core contributions focus on enhancing human-robot interaction through AR-driven methodologies for training, programming, and real-time process monitoring. Argyrou’s most influential work, "AR-Enhanced Human-Robot-Interaction" (25 citations), demonstrates how AR can bridge the gap between human intuition and robotic precision. He further advanced the field with a data fusion system (20 citations) that intelligently estimates task progress and resource status in collaborative cells, enabling seamless coordination. His practical impact is highlighted in "Design of Human Robot Collaboration workstations" (17 citations), which presents validated methods for hybrid workstation design through two automotive case studies, directly addressing the critical balance between safety and efficiency in fenceless settings. Additionally, his development of a uniform data model for symbiotic assembly stations (9 citations) provides a foundational framework for modeling complex human-robot task sequences. Through these contributions, Argyrou is not only advancing the theoretical underpinnings of HRC but also delivering actionable tools for the factories of the future.
Research Focus
Key Achievements
Top Papers
- 1AR-Enhanced Human-Robot-Interaction - Methodologies, Algorithms, Tools25 citations · 2016
- 2
- 3
- 4A Uniform Data Model for Representing Symbiotic Assembly Stations9 citations · 2016