Simone Arreghini

University of Applied Sciences and Arts of Southern Switzerland

Papers

Total Citations

H-Index

About

Simone Arreghini is an emerging researcher whose work sits at the intersection of human-robot interaction (HRI), computer vision, and social robotics. His research focuses on enabling service robots to perceive, interpret, and respond to subtle human behavioral cues — particularly gaze — in real-world environments. By developing sophisticated systems that allow robots to anticipate human intentions before explicit interaction begins, Arreghini is pushing the boundaries of proactive robot behavior. Among his most notable contributions is his work on gaze-based intention prediction, where he applies sequence-to-sequence classifiers to detect whether an approaching person intends to engage with a robot. Complementing this, his long-range mutual gaze detector addresses a critical gap in existing HRI systems, enabling robots to monitor users from greater distances than previously possible. His deployment of a chocolate-offering service robot in naturalistic settings — studied over months of real-world interaction — demonstrates a rare commitment to ecologically valid research that moves beyond laboratory conditions. With his three leading papers accumulating 17 citations since 2024 alone, Arreghini is establishing a strong early-career trajectory in social robotics, making him a researcher worth following as autonomous service robots become increasingly integrated into everyday public spaces.