Miguel Salazar-Del Rio
Universitat Politècnica de Catalunya, Sant Joan de Déu Research Foundation
Papers
2
Total Citations
37
H-Index
2
About
Miguel Salazar-Del Rio is a leading researcher in rehabilitation robotics, specializing in the development of adaptive control strategies for lower-limb exoskeletons after stroke. His work focuses on the intersection of robotic gait therapy, human-robot interaction, and sensor-based control, aiming to make robotic rehabilitation more personalized and effective. In his highly cited 2023 study, “Adapted Assistance and Resistance Training With a Knee Exoskeleton After Stroke” (23 citations), he demonstrated a systematic framework for tuning control parameters and combining assistance and resistance modes, providing rigorous evidence for robotic interventions in stroke recovery. His follow-up work, “Inertial sensors for gait monitoring and design of adaptive controllers for exoskeletons after stroke: a feasibility study” (14 citations), validated the use of wearable inertial sensors to derive spatiotemporal gait metrics for real-time control adaptation—a significant step toward closing the loop between patient performance and robotic assistance. Salazar-Del Rio’s contributions are shaping the next generation of intelligent, user-responsive exoskeletons, offering promising pathways for more autonomous and effective neurorehabilitation.
Research Focus
Key Achievements
Top Papers
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