Product and package
Map dimensions, mass, compliance, reflectivity, damage, labels, separators and pallet quality.
Real-work map · 12
Design packaging, lighting, calibration, exception routing and material flow together for stable high-volume handling and visual inspection.
FUURAA thesis
Engineering map
Each layer states the boundary to establish and the evidence needed for the next decision.
Map dimensions, mass, compliance, reflectivity, damage, labels, separators and pallet quality.
Validate visibility, lighting, occlusion, grasp, slip, placement, stack stability and reject decisions.
Engineer accumulation, empty pallets, full pallets, rejects, damaged packs, blocked exits and human replenishment.
Verification questions
Each question needs an object, conditions, denominator, threshold and accountable decision owner.
What defect prevalence and product mix define the test?
Are miss and false-reject rates reported by condition?
How are unstable stacks or failed picks contained?
Can material flow sustain the claimed robot cycle?
Evidence to preserve
A conclusion alone loses reviewability; raw records, configuration and exclusions matter too.
Condition-stratified detection confusion matrix
Pick, slip, damage and stack-stability results
Flow, accumulation, reject and replenishment time study
Scope boundary
A low error rate on balanced test images does not predict escaped defects in a rare-event production distribution.
This is an engineering reading and decision framework; it does not replace application-specific risk assessment, conformity work, procurement acceptance or professional advice.
Sources and evidence status
Source dates and review status remain visible; external sources open in a new tab.
Explains why repeatability and accuracy are distinct and why preparation and maintenance affect both.
Addresses integration, commissioning, operation, maintenance and decommissioning of complete industrial robot applications and cells.