Qiang Xi
Papers
2
Total Citations
11
H-Index
2
About
Qiang Xi is a researcher focused on advancing robotic design and manufacturing through topology optimization and intelligent control methods. His work addresses critical challenges in robot lightweight design, particularly for applications like upper-limb powered exoskeletons. In his most-cited paper (2020, 9 citations), Xi introduced a topology optimization method that accounts for multi-working conditions, overcoming the limitations of traditional approaches that only consider a single extreme pose. This innovation ensures that optimized robot structures perform reliably across time-varying operational scenarios, significantly improving both safety and efficiency in assistive robotics. Xi also explores robotic manufacturing processes, as demonstrated in his 2021 study on skateboard edge grinding using a pneumatic constant force device. By proposing a hybrid position/force control strategy, he simplified the complex modeling and active compliance control typically required in grinding tasks, making the process more accessible and robust. Though early in his career, Xi’s contributions are already shaping practical advancements in robot design and automated manufacturing, offering valuable insights for students and researchers working at the intersection of structural optimization, control systems, and industrial robotics.
Research Focus
Key Achievements
Top Papers
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- 2