Papers
1
Total Citations
2
H-Index
1
About
Xuzhao Peng is a researcher at the forefront of intelligent construction and robotic automation, with a primary focus on computer vision and deep learning for structural engineering applications. Peng’s most notable work introduces a dual-flow aggregation network for curtain wall frame segmentation, a critical step in enabling construction robots to accurately estimate their pose and navigate complex building environments. This innovative approach, published in 2024, has already garnered 2 citations, signaling its early impact on the emerging field of automated construction. By bridging the gap between visual perception and robotic control, Peng’s research addresses a key challenge in the industry: enabling robots to understand and interact with large-scale, irregular building components. The work holds promise for reducing manual labor and improving precision in high-rise construction. Peng’s contributions are particularly valuable for students and researchers exploring the intersection of deep learning, robotics, and civil engineering, offering a practical pathway toward smarter, safer, and more efficient building processes.
Research Focus
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Top Papers
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