Paolo Napoletano

University of Salerno, University of Milano-Bicocca

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About

Paolo Napoletano is a pioneering researcher at the intersection of bio-inspired robotics, human-machine interaction, and neural control systems. His work fundamentally explores how biological principles can be translated into robotic behavior, with a particular focus on visuomotor coordination and intuitive control interfaces. Napoletano’s most notable contribution is the development of the *DrawBot* system (2007), a bio-inspired robotic portraitist that computationally models human eye movements to replicate the artistic process of drawing realistic portraits—a groundbreaking approach that bridges cognitive science and robotics. This work, cited 4 times, established a foundation for understanding how artificial agents can mimic human visuomotor strategies. In recent years, Napoletano has advanced the field of teleoperation with his 2024 study on responsive robotic arm control via wearable inertial sensors (2 citations), enabling more natural and intuitive human-robot collaboration. His latest research (2024) explores EEG-based motor imagery classification for robotic control (1 citation), demonstrating that minimally invasive brain-computer interfaces can effectively translate neural signals into robotic commands. Through these contributions, Napoletano is shaping the future of assistive robotics and human-centered automation, making robots more accessible and responsive to human intent.