Qingsong Ding

Papers

Total Citations

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About

Qingsong Ding is a robotics researcher focused on medical and assistive technologies, with key contributions in fracture reduction robotics and elderly care automation. His most cited work, "Study on the Modeling and Compensation Method of Pose Error Analysis for the Fracture Reduction Robot" (2022, 10 citations), addresses a critical challenge in orthopedic surgery: minimizing trajectory errors in parallel mechanism robots during fracture reduction procedures. By developing a pose error compensation model, Ding enhances the precision and smoothness of robot-assisted surgeries, directly improving patient outcomes. His second notable paper, "Research on Robot-Assisted Bathing Based on Impedance Iterative Learning Sliding Mode Control Algorithm" (2022, 2 citations), pioneers a novel control scheme for assisting semi-disabled elderly individuals with bathing. This work integrates impedance control with iterative learning and sliding mode techniques to handle unknown model parameters, offering a low-intensity, intelligent solution for caregivers. Though early in his career, Ding’s research bridges surgical robotics and assistive technology, demonstrating a commitment to solving real-world healthcare challenges through adaptive control and error compensation. His work holds promise for advancing both precision medicine and quality of life for aging populations.