Giuseppe Magnani

Politecnico di Milano, IRCCS Ospedale San Raffaele

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About

Giuseppe Magnani’s research bridges the critical gap between autonomous robotics and clinical neuroscience, forging tools that are as impactful in the field as they are in the lab. His primary contributions lie in developing advanced control systems for mobile robot navigation and pioneering low-cost robotic assessments for neurodegenerative diseases. In his highly cited 2010 work, Magnani introduced a passivity-based model predictive control algorithm that enables mobile robots to autonomously plan feasible, smoother trajectories across rough terrains—a foundational contribution to field robotics that has garnered 16 citations. More recently, his 2017 study on Alzheimer’s disease (AD) demonstrates a remarkable interdisciplinary leap: using a low-cost robotic interface to assess visuo-motor deficits, Magnani and his team precisely quantified reaction times, tracking, and stabilization performance in 20 AD patients versus controls. This work, with 15 citations, offers a scalable, objective method for early diagnosis. By merging rigorous control theory with accessible clinical tools, Magnani’s research not only advances autonomous navigation but also opens new pathways for affordable, robot-assisted neurological screening.