Variation
Choose task-relevant factors and combinations.
Deployment evaluation · 14
Publish repeated-trial outcomes across objects, layouts, lighting, disturbances and operators, including the tail of failures.
FUURAA thesis
Engineering map
Each layer states the boundary to establish and the evidence needed for the next decision.
Choose task-relevant factors and combinations.
Preserve time, quality, damage and assistance.
Classify rare, severe and repeated failure modes.
Verification questions
Each question needs an object, conditions, denominator, threshold and accountable decision owner.
What population does sampling represent?
Are failures censored or retried?
How wide is uncertainty?
Which failures dominate operational loss?
Evidence to preserve
A conclusion alone loses reviewability; raw records, configuration and exclusions matter too.
Trial-level distribution
Confidence and sampling record
Failure-mode Pareto and severity
Scope boundary
A small homogeneous trial set cannot establish long-tail reliability in changing real sites.
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.
Develops repeatable measures for mobility, manipulation, sensing, endurance, communications, operator proficiency, logistics and safety.
Defines methods for specifying and evaluating locomotion performance of complete legged robots.