Civil Engineering & Construction: Faculty Publications
Vision-based construction robot for real-time automated welding with human-robot interaction
Document Type
Article
Publication Date
9-19-2024
Publication Title
Automation in Construction
DOI
10.1016/j.autcon.2024.105782
Abstract
The construction industry is a major consumer of steel, with welding being a crucial aspect of steel fabrication. However, a shortage of welders has emerged as a significant issue. Therefore, the ultimate goal of this study is to develop a fully automated mobile robotic welding system. The preliminary paper presented a method for the automatic detection and alignment of various welding joints. Building on this, this paper proposes a real-time automated welding system capable of path planning and tracking for two butt joints using visual data. Given the precision required in welding, two robotic operations were devised: one for following a trajectory based on real-time image data, and another for welding guided by laser-scanned data. Additionally, human-robot interaction is proposed for path planning in cases where deep learning-based joint detection fails. The automated robotic welding was performed to test the performance of the proposed system, demonstrating its effectiveness and accuracy.
Recommended Citation
Lee, Doyun, Kevin Han.
2024.
"Vision-based construction robot for real-time automated welding with human-robot interaction."
Automation in Construction, 168.
doi: 10.1016/j.autcon.2024.105782
https://digitalcommons.georgiasouthern.edu/civil-eng-facpubs/184
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