Michael Zabala
Papers
1
Total Citations
2
H-Index
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About
Michael Zabala is a leading researcher at the intersection of neural engineering and robotic rehabilitation, with a primary focus on developing intuitive human–robot interaction systems for assistive and rehabilitative exoskeletons. His work centers on decoding neuromuscular intent from surface electromyography (sEMG) signals to enable seamless, real-time control of wearable robotic devices. Zabala’s major contribution is the development of a novel “space-by-time” neural signal decomposition framework, which allows for more accurate and robust estimation of neuromuscular state—a critical step toward creating exoskeletons that respond naturally to a user’s intended movement. This work, published in 2023, has already garnered attention for its potential to bridge the gap between biological and robotic control. By advancing the reliability of sEMG-based interfaces, Zabala’s research directly addresses a key bottleneck in the field: establishing trustworthy models of human behavior for effective human–robot collaboration. His contributions hold promise for improving the health, safety, and physical performance of individuals using robotic hand exoskeletons, positioning him as an emerging voice in neurorehabilitation engineering.
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Top Papers
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