Mental model
Check whether users can predict motion, stop conditions and recovery consequences.
Deployment evaluation · 15
Human factors
Test predictability, visibility, workload, trust, alarm meaning, intervention and restart with the people who perform the work.
Evidence statusEngineering decision framework · application validation requiredLast reviewed: 13 August 2026
15
FUURAA thesis
A technically safe function can still create unsafe work if people cannot understand or use it reliably.
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.
Workload and ergonomics
Measure attention, waiting, awkward reach, repetition, pace and alarm burden.
Participation and learning
Include workers in design, testing, change review, incident learning and training.
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
Can users tell why the robot slowed or stopped?
- 02
Does the cell shift physical burden into monitoring burden?
- 03
Are instructions usable under time pressure?
- 04
How are worker concerns captured and resolved?
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
Representative-user task observations
- 02
Evidence package 2
Workload, ergonomic and usability findings
- 03
Evidence package 3
Worker feedback, training and change-response record
Scope boundary
State what this evidence still cannot be generalised to.
- 01
Training cannot compensate for poor design or replace engineering controls.
- 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
NIOSH · 2024-02-09
↗02Robotics in the Workplace: An Overview
Frames robot adoption around worker safety, health and well-being, including people who use, wear or work near robots.
OSHA · Reviewed 2026-08-13
↗Industrial robots and robot system safety
Highlights application hazard analysis, worker participation and risks during programming, testing, maintenance and recovery.