Rate
Normalise events by missions, lines, distance or operating hour.
Deployment evaluation · 14
Exception rate and recovery
Use stable categories and denominators for blocked paths, bad scans, failed transfers, failed picks and manual resets.
Evidence statusDeployment decision framework · site and workflow validation requiredLast reviewed: 14 August 2026
14
FUURAA thesis
A low exception rate matters only when recovery time, recurrence and hidden human effort are also measured.
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.
Burden
Measure detection, response, recovery and verification time.
Learning
Track recurrence after software, layout or process changes.
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
Are categories mutually understandable?
- 02
Which events require physical intervention?
- 03
How much work is shifted to support teams?
- 04
Does the same fault recur?
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
Versioned exception taxonomy
- 02
Evidence package 2
Event-level burden and recovery log
- 03
Evidence package 3
Corrective-action and recurrence record
Scope boundary
State what this evidence still cannot be generalised to.
- 01
Vendor-defined intervention metrics may use different denominators and cannot be compared without reconstruction.
- 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.