Alessandro Marzilli

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About

Alessandro Marzilli is a robotics researcher whose work bridges the gap between reactive navigation and deliberative path planning for mobile robots. His primary research areas include autonomous navigation, path planning, and real-time decision-making for robotic systems. Marzilli’s most significant contribution is his seminal 2002 paper, "When to explicitly replan paths for mobile robots," which introduced a computationally efficient, event-driven strategy for determining optimal moments to trigger path replanning. This approach allows robots to execute a priori paths reactively until a significant deviation occurs, dramatically reducing computational overhead while maintaining robust navigation in dynamic environments. Although the paper has accumulated 5 citations, its conceptual impact is notable for laying groundwork in adaptive planning strategies. Marzilli’s work addresses a fundamental tension in robotics: balancing the efficiency of pre-planned routes with the flexibility needed to handle unexpected obstacles. His research remains relevant for students and engineers developing autonomous systems that must operate reliably in unpredictable real-world settings, offering a practical framework for when to invest computational resources in replanning versus continuing with reactive execution.