Evaluation Standard of Error Recovery Planning Focused on Revival Process from Failures in Robotic Manufacturing Plants

Abstract

In recent times, intelligent robots have found applications across diverse fields. In scenarios demanding both repetitive and non-routine tasks, the likelihood of work errors increases. To address this, we have proposed methods encompassing both forward and backward recovery. Forward recovery suits minor modifications, while our focus is on backward recovery for substantial failures. Our study introduces a novel evaluation method to discern the optimal recovery path among various options.