Serafeim Michas

National Technical University of Athens

Papers

2

Total Citations

15

H-Index

2

About

Serafeim Michas is a researcher specializing in robotics programming and virtual reality applications for industrial automation. His work focuses on bridging the gap between advanced virtual environments and practical industrial robot programming, with a particular emphasis on making complex robotic path planning more intuitive and accessible. His most notable contribution centers on the innovative application of virtual reality gaming environments for industrial robot programming, specifically for edge tracing tasks. By leveraging game development tools to simulate and specify robot paths within virtual environments, Michas has proposed a methodology that streamlines the traditionally complex process of industrial robot programming. This approach allows operators to design and validate robotic cell configurations interactively before physical implementation, reducing both time and error in deployment. His research in this area has garnered recognition within the robotics and automation community, accumulating citations that reflect growing interest in VR-assisted robot programming methodologies. This work sits at an exciting intersection of gaming technology and industrial engineering, demonstrating how consumer-oriented virtual reality tools can be repurposed to solve real-world manufacturing challenges. For students and researchers exploring human-robot interaction, offline robot programming, or virtual commissioning, Michas's contributions offer a compelling foundation for further investigation.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Interactive programming of industrial robots for edge tracing using a virtual reality gaming environment
8 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: National Technical University of Athens

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago