About

Yue Qi is a pioneering researcher at the intersection of computational design, robotic construction, and advanced structural engineering. Their most impactful work centers on developing adaptive reinforcement beam networks for cross-laminated timber (CLT) slab panels, addressing a critical limitation in timber construction: the inability to efficiently accommodate multiple span directions like reinforced concrete. In their landmark 2022 paper, Qi introduced a computational design framework integrated with on-site mobile robotic construction, enabling the creation of non-grid, adaptive timber slab layouts that significantly enhance structural performance and material efficiency. This work, which has garnered 42 citations, represents a major contribution to sustainable construction by making timber a more viable competitor to concrete in complex architectural applications. Additionally, Qi explores frontier areas in bionic-driven nonlinear vibration isolation systems, reviewing design mechanisms for low-frequency vibration control in precision instruments—a critical challenge for high-end manufacturing. Their research also extends to sensor fusion technologies, including INS and UWB integration using Kalman filters for improved navigation accuracy. Through these diverse contributions, Qi is advancing both the theoretical foundations and practical applications of adaptive, intelligent structural systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
46
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Computational design and on-site mobile robotic construction of an adaptive reinforcement beam network for cross-laminated timber slab panels
42 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: University of Stuttgart, Shandong Provincial QianFoShan Hospital, University of Science and Technology Beijing

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago