Puhao Lei

Shanghai Jiao Tong University

Papers

1

Total Citations

4

H-Index

1

About

Puhao Lei is a researcher at the forefront of intelligent manufacturing and robotic welding, with a primary focus on computer vision and point cloud processing for industrial automation. His most notable contribution is the development of a Run Length Encoding (RLE) based Line Segment Detector (RSD), a novel approach for extracting line segments from point clouds to enable precise weld seam detection in ship stiffened panels. This work, published in 2024 and already garnering 4 citations, addresses a critical bottleneck in intelligent welding by enhancing the efficiency and accuracy of welding robots. Lei’s research directly impacts the shipbuilding industry, where automated vision-guided systems are essential for complex, large-scale fabrication. By bridging the gap between raw sensor data and actionable robotic commands, his method improves the reliability of weld seam localization under challenging conditions. With a growing citation record and a focus on practical, industry-relevant solutions, Puhao Lei is establishing himself as an emerging innovator in the integration of computer vision with advanced manufacturing processes.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Run length encoding based weld seam detection from point clouds of ship stiffened panel
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Shanghai Jiao Tong University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago