Domenico Famularo

Papers

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About

Domenico Famularo’s research lies at the intersection of autonomous systems, control theory, and intelligent manufacturing. His work focuses on developing resilient, multi-layer control architectures for autonomous vehicles in logistics, as well as secure multi-agent systems capable of withstanding cyber-physical threats. In his most cited paper (2024, 12 citations), Famularo proposes an innovative control framework that organizes autonomous robots into platoons to optimize logistics in manufacturing systems—a contribution that bridges operational efficiency with real-time decision-making. His 2020 study (4 citations) introduces a distributed resilient control strategy for leader-follower systems under replay attacks, integrating model predictive control to ensure stability and constraint satisfaction even when communication channels are compromised. Earlier in his career, Famularo explored fuzzy logic for tactile sensing (1997, 3 citations), demonstrating his versatility across sensing and control domains. His work is notable for addressing both theoretical robustness and practical deployment challenges, making it highly relevant for researchers in autonomous robotics, cyber-physical security, and smart manufacturing. Famularo’s contributions continue to influence the design of secure, scalable, and intelligent autonomous systems.