To realize high-quality robotic welding, an efficient and robust complex weld seam feature
point extraction method based on a deep neural network (Shuffle-YOLO) is proposed for …

A robotic seam tracking system based on laser vision and conditional generative adversarial
networks (CGAN) was proposed to address the problem of low welding precision for the …

The prime objective of this article is to obtain maximum weld seam positional accuracy and
weld quality with varying weld gap values over weld cycles in laser and vision-sensor …

Aiming at the defects of inaccurate weld extraction and high matching error rate in automatic
welding system of large weldments currently. We propose a multi task detection model …

Robots have become an essential part of modern industries in welding departments to
increase the accuracy and rate of production. The intelligent detection of welding line edges …

Purpose Robotic wire and arc additive manufacturing (RWAAM) is becoming more and more
popular for its capability of fabricating metallic parts with complicated structure. To unlock the …

Initial weld point (IWP) guiding technology is an essential component of intelligent welding.
To address the issues associated with current IWP guiding, a precise guiding technology …

We propose an evaluation framework that emulates poor image exposure conditions, low-
range image sensors, lossy compression, as well as noise types which are common in robot …

A diverse range of people, from students to engineers to designers, are interested in using
programming to analyze, visualize, and build new intelligent systems from data. However …

The welding process expose the welder to harmful material such as smoke, sparks, radiation
and high temperatures generated by the welding pool. Robotizing this process changes the …