Michele Tagliabue
Centre National de la Recherche Scientifique, Université Paris Cité
Papers
2
Total Citations
74
H-Index
2
About
Michele Tagliabue’s research lies at the intersection of rehabilitation robotics, neural engineering, and human–machine interaction. His work addresses a critical gap in assistive technology: how to quantify and improve the physical and neural interface between humans and robotic systems. In his highly cited 2010 study (70 citations), Tagliabue introduced a novel methodology to characterize alterations in upper limb movement during co-manipulation with an exoskeleton, providing the first systematic performance indicators for evaluating exoskeleton interaction quality—a foundational contribution to the field. He also advanced brain–machine interface (BMI) research by decoding two-digit grip type and force level from motor cortex spike trains, using a 100-microelectrode array in non-human primates. This work demonstrated that precise kinematic and kinetic information can be extracted for prosthetic control, opening pathways for more intuitive neural prostheses. Tagliabue’s contributions are essential for designing next-generation rehabilitation devices and BMIs that restore natural movement. His pioneering metrics continue to guide engineers and clinicians in developing more responsive, human-aware robotic systems.
Research Focus
Key Achievements
Top Papers
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