Xiuli Yang
Papers
1
Total Citations
3
H-Index
1
About
Dr. Xiuli Yang is a leading researcher in intelligent construction and robotic automation for large-scale infrastructure, with a focus on 3D point cloud processing and steel structure fabrication. Her most cited work, "A Framework for Synchronous Extraction of Multitype Steel Mesh Features Based on Measured Point Clouds" (2024), addresses a critical bottleneck in construction safety and efficiency: the manual welding of steel mesh sheets. By developing a computational framework that enables robots to synchronously extract and interpret complex mesh features from point cloud data, Dr. Yang has laid the groundwork for automated, high-precision welding in major projects—directly reducing human risk and improving structural integrity. Though her publication record is early-stage, this paper has already garnered 3 citations, signaling its immediate relevance to the robotics and civil engineering communities. Her contributions stand at the intersection of computer vision, construction robotics, and structural engineering, promising to transform how large-scale steel frameworks are assembled. Dr. Yang’s work is essential reading for researchers seeking to bridge the gap between raw sensor data and autonomous construction execution.
Research Focus
Key Achievements
Top Papers
- 1