Gianluca Saetta
Papers
4
Total Citations
67
H-Index
4
About
Gianluca Saetta is a leading researcher in assistive robotics and human-machine interaction, with a focus on restoring natural hand function for amputees. His work centers on integrating multimodal sensing—including gaze tracking, visual data, myoelectric signals, and inertial measurements—to create more intuitive control systems for intelligent prosthetics. Saetta’s major contribution is the development of the Megane Pro platform, the first data acquisition system to synchronize eye-tracking, surface electromyography (sEMG), and scene camera data for prosthetic control. His most cited paper (2020, 36 citations) presents a comprehensive dataset of grasps combining these modalities, addressing the critical gap between laboratory research and real-world usability. Saetta’s semi-automatic object recognition system (2017, 10 citations) further demonstrates how gaze and accelerometer data can train vision algorithms without manual labeling. By tackling the robustness limitations that have kept many myoelectric advances from commercial adoption, Saetta’s work paves the way for prosthetics that respond naturally to a user’s intent, blending human visual attention with machine learning. His research is essential reading for anyone developing next-generation assistive technologies.
Research Focus
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Top Papers
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