Visual Sensing and Depth Perception for Welding Robots and Their Industrial Applications
Ji Wang, Leijun Li, Peiquan Xu · 2023
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Description
Ji Wang, Leijun Li, and Peiquan Xu review robot vision in a 2023 paper on welding. Weld quality depends on the robot seeing the seam in depth, yet depth perception is a bottleneck for welding sensors. The review sorts active and passive depth methods by how many cameras they use: one, two, or many.
Deep learning approaches to depth in welding are covered in depth, as are uses across industrial settings. The authors screened thousands of papers and cite over one hundred fifty. Future needs include better object recognition, transferring learning between welding setups, fusing several sensor types, and co-designing models with hardware. They also urge requirement studies done with welding experts from the start.
Catalog record
| CREATOR | Ji Wang, Leijun Li, Peiquan Xu |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 61 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |