De ‘GripperAI’-software van Festo is met innovatiepartner Würth ontwikkeld voor robots in de logistieke keten om producten tot maximaal 20 kg te handelen. Het doel hiervan is om de fysieke belasting van mensen te verlagen en zo de werkomstandigheden te verbeteren. Het prototype van de AI-software wordt onder meer getest bij het Reinhold Würth Innovation Center Curio. Würth heeft als ontwikkelaar, producent en leverancier van montage- en bevestigingsmaterialen meer dan 1 miljoen producten in haar portfolio en kan in de logistieke keten de...

The FLAIROP (Federated Learning for Robot Picking) research project, which was sponsored by the German Federal Ministry for Economic Affairs and Climate Action, was concluded at Festo in Esslingen-Berkheim. At the event, all project participants – as well as interested public – were on site or presented their results live from Canada.

Production, warehouse, shipping - where goods are produced, stored, sorted or packed, picking also takes place. This means that several individual goods are removed from storage units such as boxes or cartons and reassembled. With the FLAIROP (Federated Learning for Robot Picking) project Festo and researchers from the Karlsruhe Institute of Technology (KIT), together with partners from Canada, want to make picking robots smarter using distributed AI methods. To do this, they are investigating how to use training data from multiple stations,...