Stefano Chiesa

National Agency for New Technologies, Energy and Sustainable Economic Development

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About

Stefano Chiesa is a robotics researcher whose work sits at the intersection of bio-inspired algorithms and sustainable energy systems. His research explores how principles from animal behavior can optimize robotic performance in uncertain environments, and how robots themselves can accelerate the global energy transition. In his highly cited 2015 paper, "Levy Foraging in a Dynamic Environment – Extending the Levy Search" (24 citations), Chiesa advanced the application of Lévy flight search patterns—a foraging strategy observed in animals—to robotic patrolling tasks. This work provided a foundational framework for enabling robots to efficiently search unknown areas with minimal prior information, a critical capability for autonomous exploration and surveillance. More recently, his 2024 review, "Robots for the Energy Transition: A Review" (14 citations), has quickly become a key reference, synthesizing how robotic systems can support the deployment and maintenance of renewable energy infrastructure, such as solar and wind farms, despite their inherent production variability. Chiesa’s contributions bridge fundamental robotics research with pressing real-world challenges, offering both theoretical insight and practical pathways for a more sustainable, automated future.