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About

Luca Pozzi is a researcher at the forefront of assistive robotics and human-robot interaction, dedicated to making technology accessible for people with motor disabilities. His work centers on developing intuitive interfaces that bridge the gap between human intent and robotic action, with a particular focus on brain-computer interfaces (BCIs) and adaptive manipulation. Pozzi’s most cited paper, “Brain-computer interface for robot control with eye artifacts for assistive applications” (2023, 26 citations), introduces a novel method for controlling robots using eye artifacts, offering a non-invasive solution for individuals with neurodegenerative disorders. He has also advanced robotic grasping through learning and knowledge transfer, as seen in his 2022 work (9 citations), which optimizes manipulation for everyday tasks. Notably, Pozzi designed a robotic assistant enabling disabled chess players to compete in official tournaments (2023, 5 citations), demonstrating his commitment to inclusive sports. His feasibility study on pointing gestures for service robotics (2022) further explores natural interaction paradigms. With a growing citation impact, Pozzi’s contributions are shaping a future where robots serve as empathetic, capable partners in daily life.