Papers
1
Total Citations
7
H-Index
1
About
Zhijia Shen is a leading researcher in rehabilitation robotics, with a primary focus on upper limb exoskeleton systems designed to restore motor function in patients with disabilities. Her most-cited work, "An innovative equivalent kinematic model of the human upper limb to improve the trajectory planning of exoskeleton rehabilitation robots" (2021, 7 citations), addresses a critical challenge in the field: the mismatch between robotic motion and natural human limb kinematics. By developing an equivalent kinematic model that more accurately represents the complex joint movements of the upper limb, Shen’s research enables exoskeleton robots to generate smoother, safer, and more adaptive rehabilitation trajectories. This innovation directly improves the effectiveness of repetitive motion therapy, which is essential for enhancing the self-care capabilities of individuals with motor impairments. Her work bridges biomechanics and robotic control, offering a practical solution for personalized rehabilitation. With a growing citation record, Shen’s contributions are gaining recognition for their potential to transform assistive technologies, making robotic therapy more intuitive and patient-centered. Her research continues to influence the next generation of exoskeleton design and trajectory planning algorithms.
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Top Papers
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