Qingpei Zhang

Papers

Total Citations

H-Index

About

Qingpei Zhang is a robotics researcher whose work bridges medical robotics and industrial automation, with a focus on human-robot interaction and precision control. His most cited paper, "Dynamic trajectory-tracking control method of robotic transcranial magnetic stimulation with end-effector gravity compensation based on force sensors" (2018, 10 citations), introduces a novel control method that enables robotic TMS systems to dynamically track patient head movements during treatment. By implementing end-effector gravity compensation through force sensors, Zhang's work significantly enhances the safety and accuracy of non-invasive brain stimulation procedures. His second notable contribution, "Design And Realization Of A Glass-Curtain Wall-Cleaning Robot" (2017, 5 citations), demonstrates his versatility by developing an innovative cleaning robot that moves across smooth vertical surfaces without a traditional walking mechanism. This work addresses the growing demand for automated building maintenance solutions. Zhang's research is particularly impactful in the emerging field of medical robotics, where his trajectory-tracking methods have implications for improving therapeutic outcomes in neurological treatments. His contributions to both medical and service robotics showcase a practical approach to solving real-world challenges through intelligent robotic systems.