Qingfeng Xu

Papers

Total Citations

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About

Qingfeng Xu is a pioneering researcher at the intersection of robotic construction, computational simulation, and Building Information Modeling (BIM). Their work addresses critical challenges in real-time prefabricated construction, particularly the dynamic stability of temporary structures—a gap left by traditional static analysis methods. Xu’s most cited paper, “FEM-based real-time task planning for robotic construction simulation” (2024, 8 citations), introduces a novel framework that integrates finite element modeling with robotic task planning to account for uncertainties and dynamic changes on construction sites. This contribution has significant implications for automating complex building processes, enhancing safety, and improving efficiency in modular construction. By bridging robotics and structural engineering, Xu’s research offers practical solutions for real-world construction challenges, positioning them as a key innovator in smart construction technologies. Their work continues to influence both academic research and industry practices, particularly in the development of adaptive, BIM-integrated robotic systems.