Pickit 3.0: our first GRIPPER, new processor, and software update.
We at Pickit know that getting the gripper right is a key factor to success with customers’ (deep) bin-picking applications. Today, I am happy to say that we are the first to combine 3D vision and gripper hardware into a single product for industrial robots.
Bert Willaert, CTO of Pickit
New compact processor
The new Pickit processor is as performant as the previous one with a few major advantages:
- 75% lighter
- Less noise
- Half as large, fits in a 1U rack mount, instead of 2U.
- The power supply is a separate adapter, so the processor can be optionally mounted on an Autonomous Ground Vehicle (AGV).
In every Pickit's new release, we strive to improve your user experience. This one is no exception. Let's look at the major advances:
Perform a reachability check for your robot
Most robot integrations now have functions for performing reachability checks, so you can test if a pose, like a pick point, is reachable by the robot. Reachability checks should be performed when receiving an object from Pickit, and the robot program should not attempt to pick unreachable objects.
Supported integrations are ABB, Fanuc, Kuka, Universal Robots and Yaskawa.
With (deep) bin-picking applications, there is an infinite amount of possible pick points and orientations that can be sent to the robot. Some of these might not be reachable for the robot due to workspace and joint limit constraints. With the most recent update to our robot interfaces, the robot only starts moving towards a part, if the part can also be reached. This new functionality increases cycle time and prevents unnecessary robot stops. I know that the described behaviour sounds like an obvious thing to do for a robot, the reality is that this is more challenging than you would expect. Industrial robots are primarily made for tasks with predefined trajectories, we make them work for vision-guided applications as well.
Bert Willaert, CTO of Pickit
Automate robot-camera calibration
Pickit 3.0 introduces the possibility to verify calibration results.
For applications where robustness is paramount, it might be relevant to perform calibration validation before every production run, or at regular time intervals. When validation results are not good enough, a recalibration is required.
To automate this process, you can now perform robot-camera calibration from the robot program, without any human intervention. The same goes for the newly introduced calibration validation.
Improved parts teaching
- Teach 2D models of parts from CAD and DXF.
- Faster CAD loading time. If you frequently change the Pickit configuration during your application, this optimization can benefit your average cycle time.
- Pick point priorities. We introduced the notion of prioritizing pick points so that your part is picked in the most preferred way first, but alternatives are automatically used if that is not possible.
Get the update
If you have an older Pickit version and would like to try 3.0, check out how you can upgrade your system.
Read 3.0 release notes in full detail or ask us anything on the Pickit's 3.0 release by filling the form below.