Valentina Gregori
Papers
3
Total Citations
57
H-Index
3
About
Valentina Gregori is a leading researcher in assistive robotics and intelligent prosthetics, with a focus on restoring natural hand function for individuals with amputations. Her work centers on integrating multimodal sensory data—including gaze tracking, visual input, myoelectric signals, and inertial measurements—to improve the control and usability of dexterous myoelectric hand prostheses. Gregori’s major contributions include the development of the Megane Pro dataset, the first comprehensive multimodal acquisition system for hand grasps, which has become a foundational resource for advancing prosthetic control algorithms. Her most-cited paper, "Gaze, visual, myoelectric, and inertial data of grasps for intelligent prosthetics" (2020, 36 citations), demonstrates how combining these data streams can overcome the robustness limitations that have hindered commercial prosthetic systems. Through her pioneering work, Gregori has helped bridge the gap between laboratory research and real-world applications, addressing the severe physical and psychological impacts of hand amputation. Her datasets and methodologies are widely used by researchers developing more intuitive, adaptive prosthetic technologies, marking her as a key figure in the quest for truly natural prosthetic control.
Research Focus
Key Achievements
Top Papers
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