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About

Zhengmeng Yang is a researcher in rehabilitation robotics, with a focus on cable-driven parallel mechanisms and lower limb assistive devices. His work centers on designing robotic systems that aid in the rehabilitation of the waist and lower limbs, aiming to improve patient outcomes through precise mechanical control and human-centered design. One of his most cited contributions is the "Combined kinematic and static analysis of an articulated lower limb traction device for a rehabilitation robotic system" (2021, 13 citations), which provides foundational insights into the mechanics of lower limb rehabilitation. Yang also developed a novel waist and lower limbs cable-driven parallel rehabilitation robot (2019, 4 citations), capable of performing simultaneous or separate rehabilitation exercises, reducing costs while expanding patient accessibility. His research extends to trajectory planning, as seen in his work on smooth path generation using quintic NURBS (2021, 4 citations) and discriminant analysis models for waist rehabilitation (2021, 2 citations). By integrating motion capture data and mathematical modeling, Yang advances the design of safer, more effective rehabilitation robots, contributing to the growing field of assistive robotics with practical, patient-focused innovations.