Pablo Pelayo

Papers

Total Citations

H-Index

About

Pablo Pelayo is a researcher at the forefront of Brain-Computer Interface (BCI) technology, dedicated to restoring autonomy for individuals with severe motor disabilities. His work centers on developing non-invasive BCI systems that translate neural signals into real-world actions, with a primary focus on controlling robotic prosthetics. His most-cited paper, "Brain-Computer Interface Controlled Robotic Arm to Improve Quality of Life" (2018, 14 citations), demonstrates a practical BCI-driven robotic arm designed to assist patients with conditions like Amyotrophic Lateral Sclerosis (ALS) and locked-in syndrome. By enabling users to perform daily tasks through thought alone, Pelayo’s research directly addresses a critical gap in assistive technology. Beyond this flagship study, his contributions span signal processing and machine learning algorithms that enhance the accuracy and responsiveness of BCI commands. Though early in his career, Pelayo’s work has already garnered attention for its tangible impact on quality of life, offering a promising pathway toward more accessible, real-world neuroprosthetics. His research sits at the intersection of neuroscience, engineering, and rehabilitation, making him a rising voice in the quest to bridge the brain and machine.