Fabio Polisano

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About

Fabio Polisano is a pioneering researcher in multi-robot systems and autonomous exploration, with a focus on planetary science and humanitarian applications. His work centers on cooperative robotics for extreme environments, including the exploration of planetary skylights and lava caves—structures of high scientific value for their potential to preserve exobiological signatures and shield against radiation and meteorites. His 2025 paper on this topic, already garnering 12 citations, highlights the importance of robotic teams in advancing space exploration. Polisano also contributes to intelligent task allocation, introducing Graph Convolutional Networks to enhance the Consensus-Based Bundle Algorithm for multi-robot coordination, a learning-based approach that improves efficiency in complex missions. Additionally, his research addresses critical societal needs, developing multi-robot systems for detecting explosive devices like landmines, integrating perception and autonomy for hazardous environments. With a growing citation impact and a portfolio spanning space science, artificial intelligence, and humanitarian robotics, Polisano is shaping the future of autonomous systems that operate where humans cannot.