Luca F. Bertuccelli

University of Hartford, Massachusetts Institute of Technology

Papers

Total Citations

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About

Luca F. Bertuccelli’s research lies at the intersection of robotics, human-autonomy teaming, and decision-making under uncertainty. He is best known for pioneering work on **robust adaptive Markov decision processes (MDPs)**, which enable autonomous systems—such as teams of unmanned aerial vehicles (UAVs)—to plan and execute complex missions even when the underlying model is imperfect or incomplete. His 2012 paper on this topic (28 citations) provides a rigorous framework for optimizing vehicle control in the face of model uncertainty, a critical challenge for cooperative multi-robot operations. Equally influential is his research on **human-robot teamwork**, where he investigates how multiple operators can effectively control growing numbers of robots. His 2012 paper (22 citations) addresses the fundamental questions of how to allocate operator attention across robots and how to design human-robot teams that maximize performance while minimizing workload. This work has shaped modern approaches to supervisory control and shared autonomy in domains ranging from disaster response to military surveillance. Bertuccelli’s contributions bridge theoretical control theory and practical human factors, making him a key figure in the development of scalable, resilient multi-agent systems.