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About

Qiushi Hu is a mechanical engineering researcher whose work centers on the analysis, design, and performance optimization of harmonic drive systems — precision transmission devices critical to modern robotic joints and automation technology. His research addresses some of the most technically demanding challenges in this field, including dynamic transmission error, meshing characteristics, and transmission accuracy prediction. Among his most influential contributions is his 2020 study on dynamic transmission error under uncertain parameters, which employed an interval method to account for real-world variability — earning 36 citations and establishing him as a forward-thinking voice in gear dynamics. Complementing this, his analysis of partial axial loading in thin-walled flexsplines (18 citations) and his comparative study of three tooth profile types in strain wave gearing (14 citations) demonstrate a rigorous, multi-faceted approach to understanding how harmonic drives behave under complex mechanical conditions. Hu's earlier work on transmission accuracy prediction (2019) tackled the persistent problem of poor accuracy consistency in manufactured harmonic drives, laying groundwork for more reliable robotic systems. His research on the envelope process of flexsplines further deepens understanding of tooth geometry and its influence on motion control precision — making his body of work an essential reference for engineers and researchers advancing the next generation of robotic joint technology.