Deutsche Telekom
As a development partner for Deutsche Telekom’s data protection and IT security compliance portal, we are…
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Business Impact:
The significant reduction in time and personnel requirements for setting up new pallet configurations leads to improved competitiveness through higher customer satisfaction and scalability of services.
What we were asked for:
The vision: To ensure competitiveness through cost savings and acceleration of service in the robotic control of palletizing machines.
What we delivered:
Proof of Concept:
When there is a change in the size and weight of the units running through the filling machine, the robotic control of palletizing machines must be reprogrammed. Manually, this process can take up to a week, as many parameters need to be set correctly. A specialized technician is required for this work. In up to 20 percent of the runs, collisions occurred at this stage, damaging bottles and containers. By using AI, this time has been reduced to one to two hours, and potential damage has been minimized!
AI Technologies: For automation, we rely on proven motion-planning optimization algorithms from the fields of automation technology, robotics, and computer simulation.
Success Factors:
- Pragmatism – relying on proven approaches with algorithms rather than succumbing to a love of technology.
- Making the solution and its quality understandable (reproducibility) to achieve acceptance.
