Antonio Bucchiarone

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About

Antonio Bucchiarone is a leading researcher in collective adaptive systems, multi-robot coordination, and smart city technologies. His work focuses on developing frameworks that enable autonomous systems—from mobile robots to urban infrastructures—to adapt safely and sustainably to dynamic environments. A key contribution is his foundational paper on **BASIC: Towards a Blockchained Agent-Based SImulator for Cities** (2019, 9 citations), which pioneers the integration of blockchain with agent-based modeling to simulate decentralized, trustworthy urban systems. This work addresses critical challenges in smart city governance, such as transparency and resilience. Earlier, Bucchiarone advanced the field of multi-robot safety with his paper on **Sustainable Safety in Mobile Multi-robot Systems via Collective Adaptation** (2015, 3 citations), introducing a novel approach where robots collaboratively adapt to unexpected behaviors and environmental changes without centralized control. His research bridges theoretical foundations and practical applications, earning recognition for its impact on self-adaptive systems and collective intelligence. Bucchiarone’s work continues to inspire innovations in autonomous coordination, urban simulation, and safe multi-agent systems, making him a key figure in the evolution of adaptive, decentralized technologies.