Thanos Zolotas
Papers
1
Total Citations
6
H-Index
1
About
Thanos Zolotas is a researcher advancing the frontiers of multi-robot systems through model-driven engineering and simulation-based design. His work focuses on enabling complex, coordinated robotic missions by developing frameworks that systematically explore design spaces—optimizing how teams of robots are configured and deployed before real-world implementation. His most-cited paper, "Model-driven design space exploration for multi-robot systems in simulation" (2022, 6 citations), addresses the critical challenge of managing the complexity and cost inherent in multi-robot deployments, offering increased reliability through redundancy and more ambitious mission capabilities. By bridging the gap between abstract models and practical simulation, Zolotas provides tools that allow engineers to rigorously evaluate trade-offs in robot team composition, communication protocols, and task allocation. His contributions are particularly valuable for applications ranging from search-and-rescue to environmental monitoring, where robust, scalable multi-robot coordination is essential. Through his research, Zolotas is helping to make sophisticated multi-robot systems more accessible, efficient, and reliable for tackling the most demanding real-world challenges.
Research Focus
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Top Papers
- 1