Teach box model

Teach with box model is the recommended engine for applications with randomly oriented box-shaped objects of known dimensions. Typical applications include bin picking of billets and pipes with square cross-sections, to name a few.

Note

  • For box depalletization, and picking boxes from semi-structured patterns, the recommended engine is DeepAL.

  • For bin picking rectangular objects of varying dimensions, the recommended engine is Flex.

To teach a box model all you have to do is to specify the box width, height and length. Pickit will then generate a box model with the origin in the shape center.

Box model generated by Pickit Teach, with its Origin frame at the center of the shape Bin of square-section billets with several box models detected and outlined in yellow, each with its object frame

By using the box model, you let Pickit optimize the detection and user experience for this specific shape. Pickit will automatically create eight pick points: Four on the long faces (below left) and four on the long edges of the box (below right).

Box model with its eight automatically created pick points: left, pick points 1 to 4 on the long faces; right, pick points 5 to 8 on the long edges, each with symmetry indicators