Welding is a method of realizing material connections, and the development of modern
sensing technology is pushing this traditional process towards automation and intelligence …

Welding automation has witnessed significant advancements with the integration of control
systems and artificial intelligence (AI) in welding robots. This review paper explores the …

Traditional “teach and playback” mode limits the efficiency and adaptability of robotic multi-
layer multi-pass (MLMP) welding. The tracking solely based on the seam points may result …

The region-based robotic machining system is mainly used for repair and remanufacturing of
the complex components with local defects. Taking the automotive body manufacturing as …

The aerospace industry faces critical demands for automated and intelligent grinding of
welds on curved surfaces. The combination of 3D vision technology and robot grinding …

With the rapid development of robot technology, robotic welding technology has gradually
been applied in the complex co-main intersection pipeline welding field. However, due to …

Accurate three-dimensional localization of defects plays a crucial role in the automated
defect marking and grinding process. However, this task becomes increasingly intricate …

Currently, most seam extraction methods focus on some simple application scenarios. For
structured workpieces with medium-thick plates, which have unknown and various …

This paper introduces a new method for detecting the spatial attitude of pipeline welding
based on point cloud registration. The method aligns the measured point cloud of the …

In intelligent welding systems, pre-welding parameter extraction is a foremost technology in
upgrading robotic welding and integrating emerging technologies, eg, digital twins, big data …