Papers

3

Total Citations

21

H-Index

3

About

Nicholas Matragkas is a researcher whose work sits at the intersection of model-driven engineering and multi-robot systems. His key research areas include the simulation-based analysis and design space exploration of collaborative heterogeneous robotic systems, where robots with different capabilities must work together to accomplish complex missions. Matragkas’s major contribution lies in developing systematic, model-driven approaches to engineer these systems, enabling engineers to explore design alternatives and validate system behavior through simulation before deployment. His most-cited paper, “Model-Driven Simulation-Based Analysis for Multi-Robot Systems” (2021, 10 citations), and its follow-up on design space exploration (2022, 6 citations) provide foundational methods for improving reliability and mission success in multi-robot teams. In his 2019 work “Towards Systematic Engineering of Collaborative Heterogeneous Robotic Systems” (5 citations), he addresses the challenge of integrating diverse robotic platforms into a cohesive, specialized team. Matragkas’s research is particularly valuable for students and engineers seeking to reduce the cost and risk of developing multi-robot systems, offering a rigorous, simulation-driven pathway from design to deployment.

Research Focus

Key Achievements

3
H-Index
3
Papers
21
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Model-Driven Simulation-Based Analysis for Multi-Robot Systems
10 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of York, Commissariat à l'Énergie Atomique et aux Énergies Alternatives

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago