Volume 8, Issue 3, December 2021, Pages 211 - 217
Selection of Optimal Error Recovery Process using Evaluation Standards in Automated Plants
Authors
Akira Nakamura1, *, Natsuki Yamanobe2, Ixchel G. Ramirez-Alpizar2, Kensuke Harada2, 3, Yukiyasu Domae2
1Department of Information Systems, Faculty of Engineering, Saitama Institute of Technology, 1690 Fusaiji, Fukaya, Saitama 369-0293, Japan
2Industrial Cyber Physical System Research Center, National Institute of Advanced Industrial Science and Technology (AIST) Second Annex, AIST Tokyo Waterfront, 2-4-7 Aomi, Koto-ku, Tokyo 135-0064 Japan
3Robotic Manipulation Research Group Systems Innovation Department, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka 560-8531, Japan
*Corresponding author. Email: akira-nakamura@sit.ac.jp
Corresponding Author
Akira Nakamura
Received 31 October 2020, Accepted 31 July 2021, Available Online 9 October 2021.
- DOI
- 10.2991/jrnal.k.210922.012How to use a DOI?
- Keywords
- Error recovery; task stratification; error classification; automation plant
- Abstract
Plant automation has become increasingly popular in various industries. However, errors are more likely to occur in difficult tasks that are often performed in an automated plant. Such tasks are often returned to the previous step, and re-executed in the event of a large-scale error. Therefore, it is important to decide both the past step to which the task needs to return and the recovery step following its return. In this study, various evaluation standards are used to realize the planning of error recovery, while considering these two factors.
- Copyright
- © 2021 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - Akira Nakamura AU - Natsuki Yamanobe AU - Ixchel G. Ramirez-Alpizar AU - Kensuke Harada AU - Yukiyasu Domae PY - 2021 DA - 2021/10/09 TI - Selection of Optimal Error Recovery Process using Evaluation Standards in Automated Plants JO - Journal of Robotics, Networking and Artificial Life SP - 211 EP - 217 VL - 8 IS - 3 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.210922.012 DO - 10.2991/jrnal.k.210922.012 ID - Nakamura2021 ER -