Lluis Guirao-Cano
Papers
3
Total Citations
39
H-Index
2
About
Lluis Guirao-Cano is a researcher at the forefront of neurorehabilitation engineering, specializing in robotic exoskeletons and sensor-driven gait therapy for stroke survivors. His work centers on bridging the gap between assistive robotics and clinical practice, with a focus on adaptive control systems that respond to real-time patient performance. In his highly cited 2023 study (23 citations), Guirao-Cano demonstrated how a knee exoskeleton delivering adapted assistance and resistance training can improve gait rehabilitation outcomes after stroke. He further advanced the field by validating inertial sensors for monitoring spatiotemporal gait metrics and designing adaptive controllers—a feasibility study that has garnered 14 citations and addresses a critical challenge in robotic therapy: tuning control parameters to individual patient needs. His most recent work (2025) includes a randomized crossover clinical trial comparing the ABLE exoskeleton to conventional knee-ankle-foot orthoses, assessing safety, usability, and feasibility. By systematically combining control modes and rigorous performance evidence, Guirao-Cano is helping to establish evidence-based protocols that make robotic gait training more effective and accessible for clinical adoption.
Research Focus
Key Achievements
Top Papers
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