Qingxin Zeng

University of Shanghai for Science and Technology

Papers

Total Citations

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About

Qingxin Zeng is a researcher focused on advancing rehabilitation robotics, particularly for upper limb recovery in stroke patients and individuals with disabilities. Their work centers on human-robot interaction, kinematic modeling, and dynamic analysis to improve the efficacy of exoskeleton rehabilitation robots. A key contribution is the development of an innovative equivalent kinematic model of the human upper limb, designed to enhance trajectory planning for exoskeleton robots, addressing a critical gap in adaptive training and repetitive motion therapy. This work has garnered 7 citations, reflecting its relevance in the field. Additionally, Zeng has explored human-robot coupling dynamic modeling, analyzing the complex interactions between patients and robotic systems to refine control strategies and improve rehabilitation outcomes, with 5 citations. Their research bridges biomechanics and robotics, aiming to restore self-care capabilities and motor function. Through these efforts, Zeng is contributing to the evolution of assistive technologies that offer personalized, adaptive rehabilitation, making strides toward more effective and intuitive human-robot collaboration in clinical settings.