Papers
2
Total Citations
5
H-Index
2
About
Xiao-Yan Qin is a leading researcher in the field of advanced robotics for nuclear fusion applications, with a particular focus on the China Fusion Engineering Test Reactor (CFETR). Her work centers on the development and control of the CFETR multipurpose overload robot (CMOR), a critical component for remote handling in fusion reactor environments. Qin has made significant contributions to motion planning and structural optimization, notably introducing an adaptive motion planning approach based on the iterative tractrix method to enhance robot maneuverability in constrained spaces. She has also pioneered accurate morphology predictive control techniques that model and visualize structural deformation and stress during robot motion, ensuring operational safety and precision. Her research, published in 2023 and 2024, has already garnered attention with citations reflecting the growing importance of her work in fusion engineering. By addressing the unique challenges of heavy-load manipulation in hazardous environments, Qin’s innovations are laying the groundwork for safer, more efficient remote handling systems essential to the success of next-generation fusion reactors.
Research Focus
Key Achievements
Top Papers
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