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About

Giovanni Milandri’s research lies at the intersection of biomechanics, human factors, and robotic prosthetics, with a focus on improving the quality of life for transfemoral amputees. His most cited work, a 2021 survey of amputee experience and priorities, has garnered 38 citations and provides critical insights for the user-centered design of powered robotic transfemoral prostheses, directly addressing the physical, psychological, and social challenges faced by users. Milandri further advances the field through his 2020 study on hybrid machine learning and neuromusculoskeletal modeling, which has 23 citations. This work tackles key limitations in EMG-driven control systems for lower limb prosthetics, aiming to reduce reliance on cumbersome motion capture and numerous electrodes—making the technology more practical for real-world, amputee use. By bridging user needs with cutting-edge control methods, Milandri’s contributions are shaping the next generation of adaptive, intuitive prosthetic devices. His research not only highlights the importance of user feedback in design but also pushes the boundaries of how machine learning can enhance prosthetic functionality, marking him as a promising voice in rehabilitation engineering.