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A Review of Machine Vision Systems for Real-Time Weld Seam Tracking in Robotic Environments

EasyChair Preprint 11767

8 pagesDate: January 14, 2024

Abstract

This paper presents a comprehensive review of machine vision systems designed for real-time weld seam tracking in robotic environments. Weld seam tracking is a critical aspect of robotic welding processes, ensuring precise and efficient performance. The review covers various machine vision techniques, including image processing algorithms, sensors, and tracking methodologies employed in the context of welding applications. The analysis encompasses both traditional and state-of-the-art approaches, highlighting their strengths, limitations, and comparative performance. Insights from this review aim to contribute to the advancement of machine vision systems in enhancing the accuracy and reliability of weld seam tracking in dynamic and challenging robotic environments.

Keyphrases: SEAM, Tracking, weld

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:11767,
  author    = {Jane Smith and Chen Liu},
  title     = {A Review of Machine Vision Systems for Real-Time Weld Seam Tracking in Robotic Environments},
  howpublished = {EasyChair Preprint 11767},
  year      = {EasyChair, 2024}}
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