Mirco Sturari

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About

Mirco Sturari is a robotics researcher whose work bridges the gap between autonomous mobile systems and real-world industrial applications. His primary research areas include mobile robotics, computer vision, and deep learning, with a specific focus on automating inspection and surveying tasks in challenging environments. Sturari’s most impactful contribution is a pioneering system for retail store automation, where a mobile robot uses monocular cameras and deep learning-based visual and textual analysis to survey shelves and manage inventory. This work, published in 2017, has garnered 54 citations and addresses the high manpower costs and infrequent monitoring that plague retail operations, directly improving customer satisfaction. In a second highly cited study (27 citations), Sturari introduced "Felix," a robotic platform designed for deep change detection in railway infrastructure. This robot uniquely measures switch dimension parameters alongside geometrical railway data, identifying potentially dangerous situations. By increasing the consistency and quality of measurements, Felix significantly enhances operator safety and, ultimately, the safety of rail passengers. Through these contributions, Sturari demonstrates a clear commitment to deploying intelligent, autonomous systems that solve pressing logistical and safety challenges in both commercial and critical infrastructure sectors.