Scholarlink

This study presents ongoing research on a novel vision-based structured light system for online weld geometry measurement in robotic welding. The approach integrates a Cavitar welding camera with illuminating laser projecting structured light patterns onto the weld surface, enabling online depth computation and 3D reconstruction of the weld bead. Iterative Closest Point (ICP) registration of computed scans against high-resolution reverse-engineering scans showed deviations ranging from 4.574 mm to 8.79e-07 mm, with an average of 0.746004 mm. These results indicate promising accuracy within industrial tolerances for applications like tack-weld detection. Future work will explore advanced point cloud processing to estimate weld bead parameters, such as leg and throat lengths, supporting closed-loop feedback control.

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3D-Reconstruction of Weld Morphology Using a Structured-Light Welding Camera

  • 会议论文

  • 发表日期：

    2026年

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  • Joe David,
  • Di Wu,
  • Akshay Dhalpe,
  • Jari Kuosmanen,
  • Eric Coatanéa

摘要

This study presents ongoing research on a novel vision-based structured light system for online weld geometry measurement in robotic welding. The approach integrates a Cavitar welding camera with illuminating laser projecting structured light patterns onto the weld surface, enabling online depth computation and 3D reconstruction of the weld bead. Iterative Closest Point (ICP) registration of computed scans against high-resolution reverse-engineering scans showed deviations ranging from 4.574 mm to 8.79e-07 mm, with an average of 0.746004 mm. These results indicate promising accuracy within industrial tolerances for applications like tack-weld detection. Future work will explore advanced point cloud processing to estimate weld bead parameters, such as leg and throat lengths, supporting closed-loop feedback control.