AGD Intelligence

De-nest and present filled glass vials/syringes for inspection or downstream handling

Filled glass vials and nested syringes must be removed from tubs/nests and presented individually for visual inspection or transfer between line stages without glass-to-glass contact. The objects are fragile, thin-walled, and filled with drug product (liquid or lyophilized), so a fumble means cracks, particulate, or a destroyed dose rather than a cheap re-grip. The task sits between filling/capping and automated visual inspection, where each container must be singulated and oriented. It is hard for a robot because grip force must be tuned per container, fill weight varies, and closely packed glass invites chipping. While automated visual inspection itself is well served by vision systems, the physical de-nesting and singulation of fragile glass is where contact intelligence adds value. 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.
low
Tactile value
very high
i

What the task is

RESEARCHED · our reconstruction

Filled glass vials and nested syringes must be removed from tubs/nests and presented individually for visual inspection or transfer between line stages without glass-to-glass contact. The objects are fragile, thin-walled, and filled with drug product (liquid or lyophilized), so a fumble means cracks, particulate, or a destroyed dose rather than a cheap re-grip. The task sits between filling/capping and automated visual inspection, where each container must be singulated and oriented. It is hard for a robot because grip force must be tuned per container, fill weight varies, and closely packed glass invites chipping. While automated visual inspection itself is well served by vision systems, the physical de-nesting and singulation of fragile glass is where contact intelligence adds value.

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.