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

DOI DOI Open Access
  • Nakamura Akira
    Intelligent Systems Research Institute National Institute of Advanced Industrial Science and Technology (AIST)
  • Nagata Kazuyuki
    Intelligent Systems Research Institute National Institute of Advanced Industrial Science and Technology (AIST)
  • Harada Kensuke
    Robotic Manipulation Research Group Systems Innovation Department Graduate School of Engineering Science, Osaka University
  • Yamanobe Natsuki
    Intelligent Systems Research Institute National Institute of Advanced Industrial Science and Technology (AIST)

Description

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.

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