Volume 6, Issue 4, March 2020, Pages 225 - 230
Cost-oriented Planning for Error Recovery in an Automation Plant
Authors
Akira Nakamura1, *, Natsuki Yamanobe1, Ixchel Ramirez Alpizar1, Kensuke Harada1, 2, Yukiyasu Domae1
1Artificial Intelligence 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
2Robotic Manipulation Research Group, Systems Innovation Department, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka 560-8531, Japan
*Corresponding author. Email: a-nakamura@aist.go.jp
Corresponding Author
Akira Nakamura
Received 6 November 2019, Accepted 12 December 2019, Available Online 28 February 2020.
- DOI
- 10.2991/jrnal.k.200222.004How to use a DOI?
- Keywords
- Cost-oriented planning; error recovery; task stratification; error classification; automation plant
- Abstract
In an automation plant, errors are more likely to occur during complicated tasks. In the case of a major error, the task is commonly re-executed after returning to the previous step. Therefore, deciding both the prior step that should be returned to and the recovery approach after return are important problems to consider. In this paper, cost-oriented planning of error recovery taking these two factors into account is proposed.
- Copyright
- © 2020 The Authors. Published by Atlantis Press SARL.
- 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 Ramirez Alpizar AU - Kensuke Harada AU - Yukiyasu Domae PY - 2020 DA - 2020/02/28 TI - Cost-oriented Planning for Error Recovery in an Automation Plant JO - Journal of Robotics, Networking and Artificial Life SP - 225 EP - 230 VL - 6 IS - 4 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.200222.004 DO - 10.2991/jrnal.k.200222.004 ID - Nakamura2020 ER -