Liming Song

Henan University of Science and Technology

Papers

Total Citations

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About

Liming Song is a leading researcher in the field of medical robotics, with a primary focus on the design, kinematics, and control of parallel mechanisms for rehabilitation. His work centers on developing innovative robotic systems that address critical challenges in physical therapy, particularly for ankle rehabilitation. Song’s most notable contribution is the creation of a novel 2RURU-2RR uncoupled parallel ankle rehabilitation robot, a design that decouples motion axes to simplify control and enhance patient safety. In his seminal 2025 paper on this robot, he presents comprehensive kinematic analysis, optimization strategies, and trajectory planning methods that enable precise, adaptive therapy. This work has already garnered 3 citations, reflecting its immediate relevance to the robotics and rehabilitation communities. Song’s research bridges the gap between theoretical mechanism design and practical clinical application, offering a more efficient and customizable approach to restoring ankle mobility. His achievements are particularly significant for students and researchers interested in parallel manipulators, human-robot interaction, and assistive technologies. By combining rigorous mathematical modeling with user-centered design, Song is helping to shape the future of automated rehabilitation, making therapy more accessible and effective for patients recovering from injury or surgery.