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If you have questions about Robotiq products please reach our support team.

The Robotiq Wrist Camera is about to celebrate its one year anniversary. Almost 12 months have passed and we have learned so much about how to improve our vision system.

This week, we’re releasing a software update that will improve speed and accuracy for the Wrist Camera URCap. You can download the update now on Robotiq’s support portal.

Here are the new features:

  • A Parametric Teaching Method: Allowing the user to input the dimensions of a 2D shape (circle, rectangle, square and ring). The vision system then locates your parts by finding this 2D shape on it without any scanning, which is way faster. With a simple input of the shape’s dimensions, the system is able to recognize parts with few distinctive features.

  • Faster cycle time thanks to a fixed lighting setting: This allows to skip light adjustments between each iteration, which saves a lot of time when the illumination conditions are constant in the working environment.

  • Improved accuracy: By improving the calibration procedure, we’ve brought pick and place accuracy to a new level, allowing the vision system to move objects a lot more precisely.

You can download the software update now from Robotiq’s support website.

Try it out and let us know how you like it!


The system accuracy values are presented in our
Product Manual. Note that :

  • Those values represent the Typical Maximum Errors
  • Those values are not related to the camera only but the complete vision system, including the robot. So for instance, it includes the accuracy of the robot;
  • All measurements have been taken for a 180 degrees rotation where the error is typically more important;
  • All measurements have been taken inside the calibrated region (region defined by the four colored circles of the calibration plate);
  • Measurements have been taken at two different heights relative to the calibration plane (-3 and 80 mm);
  • Typical maximum standard deviation is 0,00009 mm
  • Note that with perfectly planar workplane and calibration grid as well as with a robot that has no excessive backlash in the joints, we can get better accuracy than the typical maximum values presented in our manual. 
In order to have the best accuracy, we recommend to have a field of view which is the size of the calibration grid. If the accuracy is less important you can increase the FOV almost without limitation. If you need to cover a wider surface but with high accuracy, you can use many snapshots positions in your program.