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About

Vicente Quiles is a pioneering researcher at the intersection of neuroscience, rehabilitation robotics, and brain-machine interfaces (BMIs). His work focuses on developing intelligent, user-centered control systems for lower-limb robotic exoskeletons, specifically designed to restore mobility and enhance rehabilitation for individuals with spinal cord injury (SCI) or motor impairment. Quiles’ major contributions center on integrating motor imagery and attention-based BMI paradigms to allow patients to mentally command wearable exoskeletons, bypassing damaged neural pathways. His landmark 2021 case study (37 citations) demonstrated the first successful use of a BMI to control a lower-limb exoskeleton, establishing a proof-of-concept for non-invasive, thought-driven mobility assistance. He further advanced the field by rigorously assessing usability and user acceptance among SCI patients (2020, 9 citations) and by applying transfer learning with convolutional neural networks (2023) to overcome the critical challenge of limited training data in clinical BMI applications. With a cumulative impact of over 50 citations, Quiles’ work is notable for its holistic approach—bridging technical innovation with real-world patient experience and acceptance, laying essential groundwork for the next generation of assistive neuroprosthetics.