AGD Intelligence

Place fragile chocolate/yogurt-coated confections into trays or variety/gift assortments

Cibo Vita produces chocolate- and yogurt-coated nuts, pretzels, and confectionery items, and offers coating as a value-added service. A genuinely contact-rich task is arranging these brittle, coated pieces into compartmented trays, gift tins, or multi-item variety packs without cracking the coating, leaving pressure marks/fingerprints, or fracturing the piece. This is a presentation-sensitive, end-of-line placement step where appearance is part of the product value, often handled manually. It is difficult for a robot because the coating is thin and brittle, the underlying piece can crumble, and acceptable grip force is narrow — too little and the piece slips, too much and the coating shatters or smears. No task-specific throughput numbers were published. 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.

Readiness
stretch
Demand
weak
Source
researched
Failure tol.
medium
Tactile value
high
i

What the task is

RESEARCHED · our reconstruction

Cibo Vita produces chocolate- and yogurt-coated nuts, pretzels, and confectionery items, and offers coating as a value-added service. A genuinely contact-rich task is arranging these brittle, coated pieces into compartmented trays, gift tins, or multi-item variety packs without cracking the coating, leaving pressure marks/fingerprints, or fracturing the piece. This is a presentation-sensitive, end-of-line placement step where appearance is part of the product value, often handled manually. It is difficult for a robot because the coating is thin and brittle, the underlying piece can crumble, and acceptable grip force is narrow — too little and the piece slips, too much and the coating shatters or smears. No task-specific throughput numbers were published.

To confirm with the customer

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.