De-nesting and presenting fragile glassware/chinaware for tray and cart setup
The operation cycles enormous volumes of glassware, cups and chinaware — Unitechnik built automated small-parts warehouses specifically because the variety of crockery and cutlery is so large. Individual fragile items must be picked from nested stacks or racks and placed onto trays/carts for service, then handled again on the return/wash cycle. The objects are rigid but brittle (thin-walled glasses, glazed china) and often nested or closely packed. The task sits at the interface between the automated AS/RS storage and the manual tray-setting line. It is hard for a robot because separating nested fragile items and placing them without glass-to-glass impact requires careful force control; a chip is both scrap and a food-safety/foreign-object hazard. EKFC has adjacent automation (automated small-parts warehousing) but the fragile item-level handling onto trays remains manual. We identified this through our own research; we have not confirmed the specifics with the customer directly. This page is our researched read — a starting point for that conversation.
What the task is
RESEARCHED · our reconstructionThe operation cycles enormous volumes of glassware, cups and chinaware — Unitechnik built automated small-parts warehouses specifically because the variety of crockery and cutlery is so large. Individual fragile items must be picked from nested stacks or racks and placed onto trays/carts for service, then handled again on the return/wash cycle. The objects are rigid but brittle (thin-walled glasses, glazed china) and often nested or closely packed. The task sits at the interface between the automated AS/RS storage and the manual tray-setting line. It is hard for a robot because separating nested fragile items and placing them without glass-to-glass impact requires careful force control; a chip is both scrap and a food-safety/foreign-object hazard. EKFC has adjacent automation (automated small-parts warehousing) but the fragile item-level handling onto trays remains manual.
Is this the actual task and sequence? What are the real tolerances, cycle rate, and reject criteria, and which steps are today's manual bottleneck? Answering these is what turns this from a researched signal into a validated use case.