The active visual sensing methods for robotic welding: review, tutorial and prospect

TL;DR

This paper provides a comprehensive review, tutorial, and future outlook on active visual sensing methods used in robotic welding, emphasizing their principles, calibration techniques, and comparative advantages.

Contribution

It offers a detailed classification, tutorial on 3D calibration, and a comparative analysis of active visual sensing methods in robotic welding.

Findings

Active visual sensing methods improve accuracy in robotic welding.

The paper categorizes methods into four key applications.

Prospects highlight future research directions.

Abstract

The visual sensing system is one of the most important parts of the welding robots to realize intelligent and autonomous welding. The active visual sensing methods have been widely adopted in robotic welding because of their higher accuracies compared to the passive visual sensing methods. In this paper, we give a comprehensive review of the active visual sensing methods for robotic welding. According to their uses, we divide the state-of-the-art active visual sensing methods into four categories: seam tracking, weld bead defect detection, 3D weld pool geometry measurement and welding path planning. Firstly, we review the principles of these active visual sensing methods. Then, we give a tutorial of the 3D calibration methods for the active visual sensing systems used in intelligent welding robots to fill the gaps in the related fields. At last, we compare the reviewed active visual sensing methods and give the prospects based on their advantages and disadvantages.