Quality Control Through Game Theory of a Cascading Multi-Robot Machine Vision System

In this paper we analyze automated probabilistic quality control from a game theoretic point of view. Quality control is a key component of many industrial production lines and in the recent years there has been a push to automate this task, thanks to the advances in industrial manipulators with machine learning and vision capabilities. We formalize a serial multi-robot quality control model and analyze it in comparison with single-robot models, both theoretically and through some instance scenarios.