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About

Mauro Da Lio is a leading researcher at the intersection of intelligent vehicles, human-robot interaction, and autonomous systems. His work fundamentally reimagines how vehicles and robots can collaborate with humans, moving beyond simple automation toward genuine partnership. Da Lio’s most influential contribution is the concept of the “artificial co-driver,” a framework that treats intelligent vehicles not as autonomous replacements for drivers, but as collaborative agents that share control and understanding. His 2014 position paper on this topic, with 70 citations, lays out design principles for future intelligent transportation systems. Da Lio has also made significant practical contributions, such as developing a robust laser-camera system for autonomous forklifts to locate pallets (42 citations), and pioneering a “mental simulation” approach for learning predictive control in self-driving cars (25 citations). His work on emergent human-robot interactions through action selection biasing (2021) further demonstrates his commitment to creating vehicles that behave like human peers. With over 165 total citations across his most-cited works, Da Lio’s research is shaping a future where intelligent vehicles evolve into trusted, human-aware partners.