The Relative Confusion Matrix, a Tool to Assess Classifiablility in Large Scale Picking Applications
Alexander Balasch,Maximilian Beinhofer,Gerald Zauner,Alexander Balasch,Maximilian Beinhofer,Gerald Zauner
For bin picking robots in real logistics installations, the certainty of picking the correct product out of a mixed-product bin is essential. This paper proposes an approach for the robot to efficiently decide whether it can robustly distinguish the product to pick from the others in the bin. If not, the pick has to be routed not to the robot workstation but to a manual picking station. For this, ...
