Part and feed
Measure tolerance, orientation, entanglement, damage, depletion and replenishment behaviour.
Real-work map · 10
Test whether feeding, localization, compliance, force control and error-proofing survive realistic part tolerance and presentation variation.
FUURAA thesis
Engineering map
Each layer states the boundary to establish and the evidence needed for the next decision.
Measure tolerance, orientation, entanglement, damage, depletion and replenishment behaviour.
Define search, alignment, force, torque, compliance, seating and verification conditions.
Detect wrong part, wrong orientation, partial insertion, cross-threading, damage and latent assembly defects.
Verification questions
Each question needs an object, conditions, denominator, threshold and accountable decision owner.
What tolerance stack and surface condition were tested?
Can the system distinguish resistance from a correct seat?
How are damaged or ambiguous parts rejected?
What is the recovery path after a failed insertion?
Evidence to preserve
A conclusion alone loses reviewability; raw records, configuration and exclusions matter too.
Part-variation matrix with accepted and rejected outcomes
Force, torque, pose and seating trace for each attempt
Failure-mode and damage record including recovery action
Scope boundary
Success on curated parts does not establish performance on supplier variation, wear, contamination or replenishment errors.
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 metrics and test methods for grasping, manipulation, control and contact safety.
Addresses integration, commissioning, operation, maintenance and decommissioning of complete industrial robot applications and cells.