Home› Applications
Discussion
Back to discussions page
Tyler_Berryman
Posts: 122 Handy
Using the gripper to bin parts |
103 views
|
Answered | |
|
/ Most recent by Annick_Mottard
in Applications
|
3 comments |
Tyler_Berryman
Posts: 122 Handy
Hi all,
I curious to see how sensitive the Robotiq camera was to a variation in the dimensions of a part that was taught to the vision system. So I 3D printed two parts that have the same geometry, but the dimensions are slightly different. The first part is 2.25"x2.25", whereas the second part is 2"x2". The following picture illustrates the small difference between these two parts.
As you can see, the parts are very similar. I taught the larger part to the vision system using a yellow background. I tested the difference between the detection scores, the larger object(The object taught to the vision system) I was getting a detection score of about 82%, and I was getting a detection score of roughly 65% for the smaller part. So I could have used the detection threshold to differentiate these parts, but I would've had to use a second camera locate node to find the smaller part. So I decided to work with a detection threshold of 60% to be able to identify both parts using the same camera locate node. I decided to use the gripper's function " rq_current_position" to get feedback from the gripper regarding the position of the fingertips. When gripping the larger part, I was getting a position value of 89, and I was getting a value of 105 for the larger part. Knowing this I simply used two if statements to place these parts into two different bins.
Here is a video of the demonstration:
I curious to see how sensitive the Robotiq camera was to a variation in the dimensions of a part that was taught to the vision system. So I 3D printed two parts that have the same geometry, but the dimensions are slightly different. The first part is 2.25"x2.25", whereas the second part is 2"x2". The following picture illustrates the small difference between these two parts.
As you can see, the parts are very similar. I taught the larger part to the vision system using a yellow background. I tested the difference between the detection scores, the larger object(The object taught to the vision system) I was getting a detection score of about 82%, and I was getting a detection score of roughly 65% for the smaller part. So I could have used the detection threshold to differentiate these parts, but I would've had to use a second camera locate node to find the smaller part. So I decided to work with a detection threshold of 60% to be able to identify both parts using the same camera locate node. I decided to use the gripper's function " rq_current_position" to get feedback from the gripper regarding the position of the fingertips. When gripping the larger part, I was getting a position value of 89, and I was getting a value of 105 for the larger part. Knowing this I simply used two if statements to place these parts into two different bins.
Here is a video of the demonstration:
Tagged:
Here is the program I used for the demonstration: Program Robot Program MoveJ Waypoint_1 Gripper Open Camera Locate MoveL Waypoint_6 Waypoint_5 Gripper Close Waypoint_7 If rq_current_pos()≥85 and rq_current_pos()≤95 MoveL Waypoint_2 Waypoint_3 Gripper Open Waypoint_4 If rq_current_pos()≥100 and rq_current_pos()≤110 MoveL Waypoint_8 Waypoint_9 Gripper Open Waypoint_10Robotiq Integration Coach
[email protected]
1-418-380-2788, option 3
Product Expert
Robotiq
[email protected]