Xianyao Lv

Papers

Total Citations

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About

Xianyao Lv is a leading researcher in rehabilitation robotics, with a primary focus on lower limb rehabilitation systems that blend adaptive control theory with patient safety. His work centers on developing intelligent control strategies—particularly model reference adaptive impedance control—to enable active, compliant training for paralyzed patients. By addressing the critical challenge of balancing rehabilitation efficacy with safety, Lv’s research ensures that robotic therapy can adapt to patient movements in real time, providing a comfortable yet effective environment for recovery. His 2017 paper on model reference adaptive impedance control, cited 20 times, is a foundational contribution to the field, demonstrating how active exercise can be safely integrated into robotic rehabilitation. Additionally, his work on passive training control tackles the practical difficulties of modeling complex robotic systems, accounting for disturbances like friction and unmodeled dynamics. With a total of 29 citations across his most-cited works, Lv’s research has directly influenced the design of safer, more responsive rehabilitation robots. His achievements are particularly notable for advancing the clinical applicability of robotic therapy, making him a key figure in the intersection of control theory and medical robotics.