Technique of Recovery Process and Application of AI in Error Recovery Using Task Stratification and Error Classification
- 10.2991/jrnal.2018.5.1.13How to use a DOI?
- error recovery; task stratification; error classification; manipulation; artificial intelligence
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.
- Copyright © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
Cite this article
TY - JOUR AU - Akira Nakamura AU - Kazuyuki Nagata AU - Kensuke Harada AU - Natsuki Yamanobe PY - 2018 DA - 2018/06/30 TI - Technique of Recovery Process and Application of AI in Error Recovery Using Task Stratification and Error Classification JO - Journal of Robotics, Networking and Artificial Life SP - 56 EP - 62 VL - 5 IS - 1 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.2018.5.1.13 DO - 10.2991/jrnal.2018.5.1.13 ID - Nakamura2018 ER -