Angela Iragorri
Papers
1
Total Citations
15
H-Index
1
About
Angela Iragorri is a researcher at the forefront of rehabilitation robotics, with a focused expertise in developing intelligent, adaptive systems for motor recovery after stroke. Her work centers on integrating electromyography (EMG)-based gesture classification with model predictive control (MPC)-driven exoskeletons to create progressive rehabilitation platforms. In her most-cited paper, “Progressive Rehabilitation Based on EMG Gesture Classification and an MPC-Driven Exoskeleton” (2023, 15 citations), she addresses the critical challenge of restoring mobility in the 80% of stroke survivors who experience motor disability. By designing a robotic system that interprets user intent through muscle signals and adjusts assistance in real time, Iragorri’s contribution bridges the gap between human physiology and machine precision, offering a personalized, data-driven path to recovery. Her work stands out for its practical impact on the 200 million stroke cases worldwide, demonstrating how closed-loop control can enhance neuroplasticity and patient engagement. Iragorri’s research not only advances assistive technology but also sets a new standard for human-robot collaboration in clinical rehabilitation.
Research Focus
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Top Papers
- 1