In the Deep Picking project, technologies are being developed that are required both for use in intralogistic depalletizing processes and in kitting applications in production systems.
In the area of depalletizing, product bundles that are delivered on pallets are recognized by object position estimation algorithms and handled by roll-on gripping systems. Machine learning methods are used for object position detection in order to be able to robustly pick previously unknown objects. In addition, the roll-on gripping system from Premium Robotics GmbH is being further developed.
The existing bin picking software bp3TM is being further developed for the application of kitting. The focus here is on accelerating the process, increasing the robustness and the model-free gripping of unknown objects. This application is integrated in a robot cell and tested by an end user. These further developments with the help of machine learning enable the robust gripping of unknown, flat, entangled and complex objects.