Emanuele Formento

École Polytechnique Fédérale de Lausanne, Wyss Center for Bio and Neuroengineering

Papers

Total Citations

186

H-Index

About

Emanuele Formento’s research lies at the intersection of neural engineering, rehabilitation robotics, and human-machine interaction, with a focus on restoring motor function after neurological injury. His most influential work, “Shared human–robot proportional control of a dexterous myoelectric prosthesis” (2019, 146 citations), introduced a novel control paradigm that seamlessly blends user intent with robotic assistance, enabling more intuitive and dexterous prosthetic hand operation. This proportional shared control approach has become a foundational concept in modern myoelectric prosthesis design. In parallel, Formento’s 2018 study on closed-loop control of trunk posture after spinal cord injury (40 citations) demonstrated that engaging proprioceptive feedback circuits through targeted robotic assistance can significantly improve locomotion recovery. By showing that trunk stabilization regulates leg sensory feedback, his work reshaped rehabilitation strategies for SCI patients. Formento’s contributions bridge fundamental neuroscience with practical assistive technology, earning recognition for advancing both the understanding of sensorimotor integration and the development of clinically viable neural interfaces. His research continues to influence how engineers and clinicians design intelligent prosthetics and rehabilitation robots that work synergistically with the human nervous system.