Technique of Recovery Process and Application of AI in Error Recovery Using Task Stratification and Error Classification

Abstract

We have proposed an error recovery method using the concepts of task stratification and error classification. In this paper, the recovery process after the judgment of error is described in detail. In particular, we explain how to change the parameters of planning, modeling, and sensing when error recovery is performed. Furthermore, we apply artificial intelligence (AI) techniques, such as deep learning, to error recovery.