Fabio Tango

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Total Citations

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About

Fabio Tango is a leading researcher in intelligent transportation systems, with a primary focus on human–machine interaction and cooperative driving. His most influential work introduces the concept of artificial “co‑drivers”—a universal enabling technology that reimagines the vehicle not as an autonomous agent but as a collaborative partner. In his landmark 2014 position paper (70 citations), Tango frames co‑driver design within human–robot interaction theory, arguing that future intelligent vehicles must share control and decision‑making with human drivers rather than replace them. This paradigm shift has shaped subsequent research on shared autonomy, trust in automation, and adaptive driver assistance. Tango’s contributions extend to the development of human‑centered control architectures that balance safety, efficiency, and user acceptance. With a citation record that underscores his role as a foundational thinker in cooperative driving, his work continues to guide engineers and policymakers designing the next generation of intelligent transportation systems. For students and researchers, Tango’s research offers a compelling vision of how humans and machines can work together—not as competitors, but as co‑drivers.