De-nest and present empty thin-walled yogurt cups/pots to the filling line
Yogurt and dairy-dessert lines that use pre-formed cups (rather than in-line thermoforming) must separate flimsy thermoformed plastic cups one-at-a-time from tightly nested stacks and place each into a filling-carousel pocket or conveyor puck upstream of dosing and lid sealing. The cups are thin-walled, lightweight, easily deformed or telescoped together, and the friction between nested cups varies with static, temperature and batch, so two cups can stick and feed as one. A robot must singulate the top cup, sense when it has cleanly separated from the stack, and seat it without crumpling the rim — a deformed rim ruins the downstream foil seal. This sits at the head of a high-throughput line where Danone runs cobots to relieve operators, and a fumble that jams the carousel stops the whole line. No Danone-specific signal exists for robotizing this task — it is inferred from the product/line type. 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 reconstructionYogurt and dairy-dessert lines that use pre-formed cups (rather than in-line thermoforming) must separate flimsy thermoformed plastic cups one-at-a-time from tightly nested stacks and place each into a filling-carousel pocket or conveyor puck upstream of dosing and lid sealing. The cups are thin-walled, lightweight, easily deformed or telescoped together, and the friction between nested cups varies with static, temperature and batch, so two cups can stick and feed as one. A robot must singulate the top cup, sense when it has cleanly separated from the stack, and seat it without crumpling the rim — a deformed rim ruins the downstream foil seal. This sits at the head of a high-throughput line where Danone runs cobots to relieve operators, and a fumble that jams the carousel stops the whole line. No Danone-specific signal exists for robotizing this task — it is inferred from the product/line type.
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.