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Writer's pictureRafal Maciag

Where AI Can Help in Welding Processes and How Is It Different from the Traditional Approach?

AI is revolutionizing welding by mimicking how skilled welders see and interpret the process—without relying on expensive laser-based systems like 3D profilometers. This approach makes AI-driven welding more accessible, cost-effective, and adaptable. Let’s explore how AI improves upon traditional methods and where it provides the most value.


Benefits Over Traditional Approaches

AI-based systems, like the RocketWelder Platform, follow a camera-first approach, similar to Tesla’s self-driving strategy, compared to traditional laser- or Lidar-based systems. This eliminates the need for expensive and complex laser-based equipment, such as 3D optical profilometers. Here’s why this matters:

  • Overcoming Reflective Surfaces: Lasers struggle with reflective materials like aluminum and polished stainless steel. Cameras, however, provide a clear visual view of the welding process, enabling AI to understand the beam position, wire placement, and seam formation in real-time.

  • Cost and Usability: Traditional systems are expensive and require specialized expertise. RocketWelder removes these barriers by offering tools that allow production engineers to acquire datasets, label key features, train models, and design post-process workflows—all through an intuitive interface.

This shift reduces the reliance on expensive hardware and makes AI an affordable option for more manufacturers.


Where AI Can Help

AI enhances welding precision by dynamically adapting to real-world conditions. If a part’s dimensions differ slightly from specifications, AI provides a feedback loop to help robots adjust on the fly, ensuring consistent weld quality. Here’s where this capability shines:

  • Pipe Welding: Adapting to variations in cylindrical components, ensuring seamless joints.

  • Tank and Furnace Fabrication: Managing large, heavy components with complex internal welds. AI dynamically adjusts robotic paths to account for variations (because of temperature).

  • Structural Profiles: Handling long, heavy components that require precise and uniform welding across extensive spans.

These applications demonstrate how AI simplifies tasks that were traditionally time-consuming or error-prone due to dimensional variability.


RocketWelder: AI Made Accessible

One of the greatest strengths of RocketWelder is its simplicity. Engineers can quickly label visual data, train models, and deploy them without needing expertise in AI or neural networks. The training process is so straightforward that a short tutorial—such as a YouTube video—is often enough to get started.


Videos to Watch

For a closer look at welding processes, check out these videos:





AI is redefining what’s possible in welding, making it smarter, faster, and more cost-effective. With RocketWelder, the power of AI is accessible to all. Want to learn more? Let’s connect!

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