Detection
Define signals, confidence and time-to-detect.
Reading method · 03
Exceptions are designed work
Blocked paths, bad scans, damaged goods, failed picks and missing inventory need owned, testable recovery paths.
Evidence statusDeployment decision framework · site and workflow validation requiredLast reviewed: 14 August 2026
03
FUURAA thesis
Automation maturity is visible in recovery, not only in nominal task completion.
Engineering map
Turn the title into engineering objects that can be observed, measured and reviewed.
Each layer states the boundary to establish and the evidence needed for the next decision.
Containment
Put people, goods and equipment into a bounded safe state.
Closure
Assign recovery, verification and root-cause ownership.
Verification questions
Write the questions first, then decide whether a demo, test, pilot or operating record can answer them.
Each question needs an object, conditions, denominator, threshold and accountable decision owner.
- 01
Which exceptions can the system classify?
- 02
Who owns each unresolved state?
- 03
Can recovery create a new hazard?
- 04
When is an order safe to resume?
Evidence to preserve
Enable the next reader to reconstruct conditions, results, failures and the decision.
A conclusion alone loses reviewability; raw records, configuration and exclusions matter too.
- 01
Evidence package 1
Exception taxonomy with denominators
- 02
Evidence package 2
Recovery-time and intervention log
- 03
Evidence package 3
Verified closure and recurrence record
Scope boundary
State what this evidence still cannot be generalised to.
- 01
A demonstration that removes failed attempts does not establish operational exception handling.
- 02
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
Read standards scope, measurement evidence and application conclusions separately.
Source dates and review status remain visible; external sources open in a new tab.
01
NIST · Updated 2024-08-16 · verified 2026-08-14
↗02Standard test methods for response robots
Develops repeatable measures for mobility, manipulation, sensing, endurance, communications, operator proficiency, logistics and safety.
NIOSH / CDC · Updated 2024-11-25 · verified 2026-08-14
↗Center for Occupational Robotics Research
Studies injury trends, risk profiles and worker safety around traditional, collaborative, mobile and AI-enabled robots.