Manuela Bravo
Papers
1
Total Citations
15
H-Index
1
About
Manuela Bravo is a leading researcher in rehabilitation robotics and human–machine interaction, with a focus on restoring motor function for stroke survivors. Her work bridges intelligent control systems and biomedical engineering to develop adaptive, patient-centered therapies. In her highly cited 2023 study, “Progressive Rehabilitation Based on EMG Gesture Classification and an MPC-Driven Exoskeleton,” she introduced a novel framework that uses electromyographic (EMG) gesture classification combined with model predictive control (MPC) to drive an upper-limb exoskeleton. This approach enables real-time, progressive rehabilitation tailored to each patient’s residual muscle activity—addressing the needs of the 200 million stroke cases worldwide, 80% of whom experience motor disability. By integrating machine learning with robotic assistance, Bravo’s work has laid the groundwork for more responsive, data-driven recovery protocols. Her contributions have already garnered significant attention, with her most-cited paper accumulating 15 citations within its first year, reflecting its immediate impact on the field. Bravo continues to push the boundaries of assistive robotics, aiming to make rehabilitation more accessible, intuitive, and effective for patients recovering from neurological injury.
Research Focus
Key Achievements
Top Papers
- 1