Max Robotics — Global Service Robot Directory + US Certification

About

Rita Mosca is a leading researcher in neurorehabilitation, specializing in the application of robotic technologies for upper limb recovery after stroke. Her work focuses on developing and validating quantitative, robot-derived measures to objectively assess motor impairments—a critical step beyond traditional clinical scales. In her highly cited 2020 study (85 citations), Mosca demonstrated the reliability, validity, and discriminant ability of a robotic device for finger training in subacute stroke patients, establishing a new benchmark for hand function evaluation. Her 2018 paper (60 citations) similarly validated instrumental indices from a planar robotic platform for upper limb rehabilitation, reinforcing the clinical utility of robot-based metrics. Mosca has also explored how age interacts with recovery, showing in a 2020 randomized-controlled trial that older patients benefit less from conventional therapy but not from robotic rehabilitation—a finding with direct implications for personalized treatment. More recently, she has pioneered the use of machine learning to predict functional outcomes after robot-assisted therapy (2022), aiming to identify which patients will benefit most. Her work bridges engineering and clinical neuroscience, advancing objective, data-driven rehabilitation.