Performance
Measure pose, path deviation, narrow passage and mapping.
System anatomy · 06
Join map quality, localisation, obstacle handling, social yielding, accessibility and recovery.
FUURAA thesis
Engineering map
Each layer states the boundary to establish and the evidence needed for the next decision.
Measure pose, path deviation, narrow passage and mapping.
Challenge crowds, wheelchairs, children, pets and sudden reversal.
Test lifts, doors, ramps, dead zones and fire routes.
Verification questions
Each question needs an object, conditions, denominator, threshold and accountable decision owner.
Which metrics are not safety claims?
Where can the robot block access?
How are unmapped changes handled?
What happens after localisation loss?
Evidence to preserve
A conclusion alone loses reviewability; raw records, configuration and exclusions matter too.
Route and interface record
Conditioned navigation results
Blocked-path and encounter logs
Scope boundary
ISO 18646-2 measures selected navigation performance and explicitly does not validate safety.
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.
Defines methods for pose accuracy, obstacle response, path deviation, narrow passage and mapping accuracy.
Addresses safety management for service-robot applications in human spaces with trained and untrained people.