The Inner Mongolia First Machinery Group Co's process research team has developed a new trajectory planning method for welding robots, shortening planning time by 40 percent and raising the one-time welding pass rate from 85 percent to 96 percent.

This method provides a breakthrough solution to key bottlenecks in intelligent manufacturing and is now being applied to the production of complex structural components.

Trajectory planning for traditional welding robots has long focused on optimizing a single objective, making it difficult to balance precision, efficiency, and adaptability. Existing complex algorithms generally suffer from large computational volumes, long processing times, and high hardware requirements. When dealing with complex welds of various shapes, such systems not only have poor adaptability but also incur high costs.

To address this, the team collected large volumes of 3D coordinate point data of complex parts via 3D scanning equipment and performed layered processing on these data to accurately present the specific contours and geometric characteristics of the parts at each cross-section. Using the data, the welding robot autonomously plans an optimal welding trajectory through intelligent analysis, selecting the best path, posture, and process parameters.

By reducing complex three-dimensional spatial problems into several two-dimensional sectional problems, this approach significantly lowers computational complexity and equips the robot with autonomous decision-making capabilities when dealing with various components, freeing it from over-reliance on manual teaching and expensive sensors.

A company representative said, "This innovative method has not only solved the problems of long planning cycles and poor adaptability in welding trajectory planning for complex components, but also significantly improved welding quality and efficiency. We have now developed a set of technical specifications and databases for intelligent planning of welding robots with independent intellectual property rights, enhancing the enterprise's core competitiveness."