PACKAGING


Y


et even in highly automated facilities, a fragile component, the barcode label, carries critical data. Weak or peeling tags can undermine carefully designed factory labelling solutions, causing robots to


misread loads and creating costly blind spots in operations.


THE HIDDEN WEAK POINT IN ROBOTIC AUTOMATION Autonomous mobile robots operate through layered systems:


• Sensors and cameras that observe the environment.


• Software that interprets data from warehouse management systems.


•  labels and markers that link digital records to physical assets.





 racks still use traditional one-dimensional barcode labels printed on paper or thin  damaged label remains manageable. A  manually enter a number. 


   encounters uncertainty. Small failures at the label level can cascade through the system.


WHEN LABELS FAIL, AUTOMATION SLOWS Industrial environments challenge conventional label materials. Warehouses  chemical cleaners and constant abrasion from forklifts and pallets. These conditions  printed symbols. 


chemical exposure can cause labels to peel   contributes to the problem. Repeated contact with forklifts or debris gradually damages   produces minor delays. For an automated 





  SPOTS FOR YOUR  ROBOTS


By Emily Newton, Editor-in-chief, Revolutionized


Autonomous mobile robots (AMRs) streamline workflows, increase throughput and improve safety in UK warehouses


CONSIDER A FEW SCENARIOS COMMON IN AUTOMATED FACILITIES:


•  damaged label and retrieves incorrect data from the warehouse management system.


• Routing errors: The robot cannot verify a destination code and pauses mid- operation.


• Handling failures: Incorrect weight or load information leads to unstable lifting behaviour.


THE DATA-TO-PHYSICAL BRIDGE Automation relies on a reliable link between  labels carrying the data robots need to identify  follow handling instructions. When a label   


 


often requiring a worker to enter the robot’s  operational interruption and safety risk. Research into human-robot collaboration


consistently highlights shared spaces as a critical safety challenge in automated    three-quarters of prostate cancer surgeries  inputs support safe machine operation. When workers enter automated aisles to


 temporarily switches from automated control to human intervention. This is where risks increase.


THE REAL COST OF A POOR LABEL Operational leaders often measure automation performance through metrics such as pick  failures quietly affect all three. A single


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