Papers

15

Total Citations

966

H-Index

11

About

Spyridon Koukas is a prominent researcher specializing in human-robot collaboration (HRC), augmented reality (AR) in manufacturing, and intelligent robotic systems for industrial environments. His work sits at the intersection of robotics, human-computer interaction, and smart manufacturing, with a particular focus on making human-robot collaborative workplaces safer, more intuitive, and more efficient. Koukas has made significant contributions to the field through his development of AR-based frameworks that enhance operator support in shared industrial workspaces. His highly cited 2016 paper on AR for human-robot collaborative assembly, which has garnered 237 citations, established foundational principles for integrating augmented reality into manufacturing workflows. This was complemented by his influential work on seamless human-robot collaboration (192 citations) and multimodal interaction systems (135 citations), which together chart a compelling vision for next-generation factory environments. Beyond AR, Koukas has advanced the automation of intra-factory logistics through service-oriented architectures and mobile robots for material supply scheduling, and pioneered decision-making frameworks for HRC workplace design. His exploration of wearable devices, digital twins, and personalized HRC cells reflects a consistently forward-looking research agenda. With over 935 cumulative citations, his body of work is an essential reference for researchers and engineers shaping the future of Industry 4.0.

Research Focus

Key Achievements

11
H-Index
15
Papers
966
Total Citations
64
Avg Citations/Paper
🏆 Most Cited Paper
Augmented reality system for operator support in human–robot collaborative assembly
237 citations · 2016
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 45
🏛 Institutions: University of Patras, INTRASOFT International (Luxembourg), INTRASOFT International (Greece)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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