Polyplan
Variable crate picking by robot and machine learning
The robot-guided depalletizing systems for small load carriers (SLC) from Polyplan enable the automated unloading of pallets - even with a large variety of SLC types - as well as the precise positioning of the removed crates on storage locations or conveyor systems.
The turnkey, integrable systems from Polyplan offer machine learning-supported differentiation between different types of KLT - including those recognized for the first time - reliable gripping even with position tolerances and position errors, detection of damaged crates, position recognition and barcode reading or sorting of mixed KLT. The depalletizing systems can currently be equipped with robots from Kuka, ABB or Fanuc. Polyplan provides robots with a load capacity of 150 kg to 210 kg including 'safety reserve'. In order to be able to pick up the various types of KLT flexibly and safely, each depalletizing robot has been equipped with a special multifunctional gripper with servo-motor-driven pick-up mechanism, which moves automatically depending on the type of crate and orientation and adapts to the position of the gripping holes of the KLT in question. An integrated, distance-measuring 3D sensor system - supported by machine learning - is used to differentiate between different types of KLTs. This is installed in a static position above the depalletizing station, creates an updated 3D image of the stacking scheme of the top pallet layer after each gripping and determines the contour, height and position values as well as the orientation of each small load carrier. In this way, the robot-guided depalletizing systems achieve typical cycle times of less than 10 s per KLT. In addition to KLTs, the depalletizing systems can also handle cartons and packaging containers made of expanded polypropylene (EPP) or - on request - other materials.
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