Ilaria Strazzulla
Papers
1
Total Citations
45
H-Index
1
About
Ilaria Strazzulla is a leading researcher in rehabilitation robotics and human-machine interaction, with a focus on advancing myoelectric control for assistive technologies. Her key research areas include bimanual manipulation, surface electromyography (sEMG), and incremental learning algorithms for prosthetic control. Strazzulla’s most cited work, “Online Bimanual Manipulation Using Surface Electromyography and Incremental Learning” (2016, 45 citations), introduces a groundbreaking paradigm for simultaneous and proportional myocontrol of hand prostheses. Unlike traditional sEMG classification methods, her approach enables users to control multiple degrees of freedom in real time, allowing for more natural and intuitive bimanual tasks. This contribution has significant implications for the rehabilitation robotics community, as it enhances the dexterity and usability of prosthetic hands. Strazzulla’s work is notable for its integration of incremental learning, which adapts to user-specific muscle patterns over time, improving system robustness. Her research has been recognized for bridging the gap between laboratory prototypes and practical, user-centered applications, making her a key figure in the development of next-generation prosthetic technologies.
Research Focus
Key Achievements
Top Papers
- 1