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In traditional steel structure manufacturing processes, although welding robots have been widely applied, their teach-and-repeat programming models prove inadequate when tackling large-scale, complex welding tasks. In scenarios demanding high customization and precision, extensive manual teaching and repeated adjustments are often necessary, which can be time-consuming and labor-intensive, thus limiting overall production efficiency and quality improvement.
SIASUN, recognizing these industry needs, has launched its teach-free welding robot technology tailored for steel construction applications in building structures. Specifically targeting typical structural components like H-beams and steel columns, this technology employs 3D scanning sensors coupled with advanced visual recognition algorithms to accurately and instantaneously locate weld seam positions, shapes, and quantities. This transformative approach simplifies programming from complexity to simplicity, eliminating the need for tedious manual teaching. Under the guidance of an upper-level control system, SIASUN’s welding robots intelligently plan welding paths, automatically generate efficient welding programs, and execute welding tasks autonomously, effectively overcoming limitations encountered by traditional welding robots in intricate welding environments.
This technology effectively reduces labor intensity, guarantees product quality, and increases work efficiency. By maximizing robotic substitution for manual labor, it raises productivity and product yield rates, cuts down on labor costs, and drives enterprises towards automation, unmanned operations, and higher value-added production. Ultimately, it paves the way for companies to evolve into smarter, leaner, and more competitive entities within the industry.