Xinghui Xu
Papers
4
Total Citations
18
H-Index
3
About
Xinghui Xu is an emerging researcher at the intersection of construction robotics, artificial intelligence, and autonomous systems. Working closely with collaborator Borja García de Soto, Xu has established a focused research agenda centered on advancing the integration of robotic technologies and intelligent algorithms within the built environment. Their work spans practical implementation studies and theoretical frameworks, demonstrating a commitment to bridging laboratory research with real-world construction applications. Among Xu's most recognized contributions is a detailed case study examining the deployment of the Jaibot robotic system for overhead drilling operations in the UAE, which has garnered 7 citations and stands as a practical benchmark for construction automation in the region. Xu has also contributed to cybersecurity considerations for construction technology, co-authoring a vulnerability assessment framework for autonomous site monitoring systems, cited 6 times. On the algorithmic frontier, Xu has pioneered reviews and original research on reinforcement learning for construction robots, including deep reinforcement learning approaches for multi-agent task assignment and path planning — work that reflects a sophisticated understanding of AI-driven coordination in dynamic construction environments. Collectively, Xu's growing body of work signals a researcher poised to make lasting contributions to the future of smart, autonomous construction.
Research Focus
Key Achievements
Top Papers
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