In this Tech Short, we will go over how to automatically set user frames and user tools to an iRVision calibration grid using the GRID_UFRAME and GRID_UTOOL KAREL utilities included with FANUC iRVision. These tools simplify the process of aligning robot programs to real world fixtures by using a calibrated iRVision camera to identify the calibration grid and generate precise frame data. This approach can significantly reduce manual setup time and improve accuracy whenever a fixture or work cell shifts during integration or production.
We will walk through how these functions work, why they matter, and what is required before getting started. The video also demonstrates a practical example inside ROBOGUIDE so you can clearly see how the process behaves on a real robot. By the end, you will understand how to integrate these capabilities into your workflow and how they can help maintain consistent robot positioning across the life of your system.
Before using GRID_UFRAME or GRID_UTOOL, a few prerequisites must be met:
Requirements covered in the video:
- A calibrated iRVision 2D or 3DV camera
- A physical iRVision calibration grid with known spacing
- A robot program that can position the grid or camera for image capture
- Access to the GRID_UFRAME and GRID_UTOOL KAREL tools within the iRVision software
The video highlights how GRID_UFRAME can automatically teach a user frame by identifying a fixed calibration grid in the camera’s field of view. It also shows how GRID_UTOOL can be used when the calibration grid is mounted to the robot’s end of arm tooling in order to automatically set a tool frame. Together, these utilities offer a powerful method for ensuring that user frames and TCP definitions remain accurate even if the relative position of the robot and fixture changes over time.
What we will go over in this Tech Short:
- How GRID_UFRAME and GRID_UTOOL function within iRVision
- When to use these tools instead of iRCalibration Vision Frame Set or iRCalibration VTCP
- How to position the robot or grid to capture the required image
- How user frames update after fixture movement
- A walkthrough inside ROBOGUIDE that mirrors real world behavior
If you are looking to streamline your robot setup process, maintain more reliable frame data, or understand how iRVision can support automated frame creation, this session will give you a clear, practical overview. Sign up to watch the full Tech Short and learn how to put these powerful KAREL tools to work in your application.
