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About

Mirgita Frasheri is a researcher specializing in autonomous robotics, digital twins, and multi-agent systems, with a particular focus on bridging simulation environments and real-world deployments. Her work spans critical challenges in cooperative robotics, adaptive autonomy, and safety verification, making her a notable contributor to the fields of cyber-physical systems and intelligent robotics. Frasheri's most cited work, "Towards a Digital Twin Framework for Autonomous Robots" (2021, 22 citations), exemplifies her pioneering efforts in applying digital twin technology to agricultural robotics, integrating motor control, localization, and co-simulation. Her research on task allocation through entity-relationship modeling (TAMER, 14 citations) and adaptive autonomy in search-and-rescue scenarios (14 citations) demonstrates her expertise in designing resilient multi-robot systems that operate effectively in dynamic, resource-constrained environments. A recurring theme in her portfolio is safety assurance — evident in her work on fault-injecting co-simulations and runtime verification enabled by digital twins. Her 2024 contributions to systematic digital twin reporting frameworks further underscore her commitment to reproducibility and knowledge-sharing within the research community. Collectively, her publications reflect a cohesive research vision: building trustworthy, adaptive autonomous systems capable of performing reliably in complex, real-world conditions.