Gianluca Sorrento
Papers
4
Total Citations
25
H-Index
2
About
Gianluca Sorrento is a rehabilitation researcher whose work sits at the intersection of robotics, virtual reality, and locomotion science. His primary focus lies in developing innovative strategies to improve functional walking and postural control in neurologically impaired populations, particularly individuals recovering from stroke and older adults experiencing age-related gait decline. Sorrento's most significant contributions center on the application of robot-controlled haptic forces within virtual environments to induce adaptive locomotor responses. His most-cited work (2018, 19 citations) demonstrated that haptic tensile forces can elicit meaningful gait adaptation and post-adaptation effects in healthy young adults, laying a foundational framework for rehabilitation applications. Building on this, he extended these investigations to post-stroke and elderly populations, showing that haptic leash systems could increase walking velocity in clinically relevant groups, offering a compelling alternative to conventional assistive devices like instrumented canes. More recent work has deepened the mechanistic understanding of these interventions by examining lower limb coordination through planar and three-dimensional phase diagram analyses, revealing kinematic changes that spatiotemporal measures alone cannot capture. Sorrento's research collectively advances the case for integrating robotics and immersive virtual environments into evidence-based stroke rehabilitation protocols.
Research Focus
Key Achievements
Top Papers
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