Alberto Grosso

Papers

Total Citations

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About

Alberto Grosso’s research lies at the intersection of multi-robot systems, semantic web technologies, and distributed control architectures. His work is distinguished by pioneering efforts to bridge the gap between web-based service composition and robotic coordination, enabling more flexible and intelligent multi-agent behaviors. In his most cited paper, “Applying Semantic Web Service Composition for Action Planning in Multi-robot Systems” (2009, 14 citations), Grosso demonstrates how web service paradigms can be effectively integrated into robotic control, allowing for dynamic action planning without embedding control into any single robot. He further advances the field with his innovative use of RFID technology for context-aware coordination and task allocation in multi-robot teams, as presented in his 2009 paper (8 citations). His doctoral dissertation (2008) proposes a scalable, agent-based control architecture for large-scale distributed robotic systems, contributing foundational models to the field. Though his citation counts are modest, Grosso’s work is notable for its forward-looking integration of semantic web and multi-agent principles into robotics—a vision that anticipates later trends in cloud robotics and IoT-enabled autonomous systems.