Towards Automated Acceptance testing for industrial robots
This addresses reliability issues in industrial robotics, but it appears incremental as it focuses on applying existing testing concepts without new breakthroughs.
The paper tackles the problem of improving reliability for industrial robot programs by hypothesizing that automated acceptance testing can reduce failures, though no concrete results or numbers are provided.
Industrial robots are important machines applied in numerous modern industries that execute repetitive tasks with high accuracy, replacing or supporting dangerous jobs. In this kind of system, with increased complexity in which cost is related to the time the system keeps working, the system must operate with a minimum number of failures. In other words, a quality aspect important in industry is reliability. We hypothesize that Automated Acceptance Testing improves reliability for industrial robot program. We present the research question, the motivation for this study, our hypothesis and future research efforts.