Industrial Automation Teaching Free Welding Robots

Industrial Automation Teaching Free Welding Robots

Key features and technologies

Vision guidance: An integrated laser or 3D vision system scans the workpiece, identifies the exact position and shape of the weld seam, and accurately guides the robot arm.

Teaching-free programming: Instead of traditional point-to-point programming, these robots often import 3D model files from design software like SOLIDWORKS or Tekla. The system then uses the model and vision data to automatically generate the welding path and parameters.
AI and algorithms: Advanced algorithms and artificial intelligence enable the robot to adapt to variations, correct its path, and learn from data to improve performance over time.

High precision: These systems achieve high path accuracy and repeatability, often down to fractions of a millimeter, which is critical for quality welding. Some even feature advanced vibration suppression to ensure stability.

Flexibility: They are well-suited for small-batch production and a variety of workpiece types, as they do not require extensive reprogramming for each new part.

Support for multiple robot brands: The teaching-free control systems are often compatible with a range of major robot brands like KUKA, FANUC, and ABB, as well as domestic brands.

Automatic process parameter calculation: The system can automatically match welding parameters to the weld seam and 3D model, reducing the need for manual setup.

Benefits

Increased efficiency: Automates complex welding tasks, reducing labor costs and production time.

Improved quality: Consistent, high-precision welds that meet strict tolerances.

Reduced programming time: Eliminates the need for time-consuming manual teaching and adjustments, making it faster to switch between different jobs.

Adaptability: Handles the complexities of small batches and non-standard parts that are challenging for traditional robots.

Enhanced safety: Reduces the need for human operators to work in potentially hazardous welding environments.