Max Robotics — Global Service Robot Directory + US Certification

About

Francesco Alderisio is a researcher whose work sits at the intersection of computational neuroscience, social motor coordination, and human-robot interaction. His key research areas include the analysis of interpersonal synchrony, the development of non-invasive diagnostic tools for psychiatric conditions, and the modeling of joint action dynamics. Alderisio’s most notable contribution is his pioneering study on “Unravelling socio-motor biomarkers in schizophrenia” (2017, 42 citations), which introduced a novel, low-cost, and non-invasive method for identifying potential diagnostic biomarkers. By using the ‘mirror-game’—a coordination task where two partners mimic each other’s hand movements—he demonstrated that a patient’s solo movement patterns, recorded in the absence of a partner, could reveal distinct socio-motor deficits. This work has significant implications for early diagnosis and personalized treatment in psychiatry. Additionally, his involvement in the “Autonomous Robots and Multirobot Systems (ARMS 2014)” workshop (3 citations) reflects his broader interest in multi-agent coordination and robotics. Alderisio’s research bridges fundamental science and clinical application, offering innovative tools to understand and assess human social behavior.