Xianming Li
Papers
2
Total Citations
142
H-Index
2
About
Xianming Li is a prominent researcher specializing in rehabilitation robotics and human-robot interaction, with a particular focus on developing advanced control systems for assistive and therapeutic devices. His work addresses critical challenges in restoring motor function for patients recovering from stroke and other neurological conditions. Li's most influential contribution, "Human–Robot Cooperation Control Based on Trajectory Deformation Algorithm for a Lower Limb Rehabilitation Robot" (2021, 85 citations), introduced a novel trajectory deformation algorithm that significantly enhanced robot compliance and movement smoothness beyond conventional admittance model approaches — advancing the field's understanding of intuitive human-robot cooperation. His complementary work on cable-driven upper-limb rehabilitation robotics, "Performance-Based Hybrid Control of a Cable-Driven Upper-Limb Rehabilitation Robot" (2020, 57 citations), demonstrated his ability to design adaptive, patient-centered control architectures capable of accommodating diverse disability levels through multi-modal operation, including resistance and assistance modes. Collectively, Li's research has garnered over 140 citations, reflecting the meaningful impact his innovations have had on the rehabilitation engineering community. His work bridges biomechanics, control theory, and clinical need, making him a valuable voice for researchers and students seeking to advance intelligent, patient-adaptive rehabilitation technologies.
Research Focus
Key Achievements
Top Papers
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