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About

Andrea Usai’s research lies at the intersection of mobile robotics, control systems, and bio-inspired navigation, with a growing emphasis on social and adaptive behaviors. His early work established foundational contributions in vision-based control, notably developing a homography approach for nonholonomic robots that remains robust even when reference features are lost during movement—a critical advancement for real-world deployment. Usai also contributed to embedded systems design, creating a versatile motor control board capable of handling both DC and servo motors, demonstrating his commitment to practical, deployable robotics solutions. More recently, Usai has pioneered neuro-inspired control architectures that enhance robot self-preservation and adaptation in unfamiliar environments, drawing on dual-pathway neuroscience models to improve autonomous navigation. His latest work integrates non-cooperative game theory with social force models, addressing the underexplored challenge of socially acceptable robot movement in human spaces. With papers spanning from 2006 to 2025, Usai’s research trajectory shows a clear evolution from low-level control to high-level cognitive and social robotics. His work is increasingly cited as the field turns toward robots that must coexist safely and naturally with humans.