Paper
19 October 2023 Application of visual sensing technology in welding robot
Jin Cheng, Naitao Xu, Weiguo Liu
Author Affiliations +
Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127091Z (2023) https://doi.org/10.1117/12.2685060
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China
Abstract
The application of welding robots has effectively improved labor productivity, improved the labor intensity of workers, and has good stability. Visual sensing technology can be empowered for intelligent welding automation, which can help welding workstations to complete welding tasks more accurately. It can detect the shape, size, position and welding quality of the welding seam. This paper describes the structure of the intelligent welding robot workstation system, the carrying mode of visual sensing, and the working principle of various visual sensing technologies in welding seam positioning, welding seam tracking, welding quality detection, etc. Detailed descriptions of the current mainstream line structure light method, point structure light scanning method, multi-line structure light method and surface structure light method are given respectively. These technologies have their own characteristics, and need to be matched with the application scenarios in actual application. Welding vision technology can help enterprises better control welding quality, improve production efficiency, reduce production costs, and provide more possibilities for the development of welding industry.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jin Cheng, Naitao Xu, and Weiguo Liu "Application of visual sensing technology in welding robot", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127091Z (19 October 2023); https://doi.org/10.1117/12.2685060
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KEYWORDS
Structured light

Visualization

Cameras

Industrial applications

Sensing systems

Sensors

Active remote sensing

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