Yuqi Cheng

Huazhong University of Science and Technology

Papers

Total Citations

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About

Yuqi Cheng is a rising researcher in intelligent robotics and precision manufacturing, with a focus on solving critical challenges in robotic inspection and machining. Their work centers on two key areas: multiview point cloud registration for 3D measurement and path accuracy compensation for robotic milling. In their highly cited 2024 paper, "MVGR: Mean-Variance Minimization Global Registration Method for Multiview Point Cloud in Robot Inspection" (13 citations), Cheng introduced an innovative approach to stitching point clouds collected by robots from multiple poses, effectively addressing issues of uneven density and stratification caused by robot positioning deviations. This method significantly enhances the reliability of 3D measurements in automated inspection systems. Complementing this, their work on "A Novel Path Error Compensation Method for Robotic Milling by Using Hybrid Temporal Network" (6 citations) tackles the often-overlooked problem of path continuity in milling operations. Rather than focusing solely on single-point accuracy, Cheng developed a hybrid temporal network that compensates for path errors, ensuring higher contour accuracy in robotic machining. These contributions demonstrate Cheng's ability to bridge theoretical algorithms with practical industrial applications, making their research highly relevant for advancing autonomous manufacturing and quality control systems.