| Title: | OS10-1 Technique of Recovery Process and Application of AI in Error Recovery Using Task Stratification and Error Classification |
|---|---|
| Publication: | ICAROB2018 |
| Volume: | 23 |
| Pages: | 485-489 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2018.OS10-1 |
| Author(s): | Akira Nakamura, Kazuyuki Nagata, Kensuke Harada, Natsuki Yamanobe |
| Publication Date: | February 2, 2018 |
| Keywords: | error recovery, task stratification, error classification, manipulation, artificial intelligence |
| 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. |
| PDF File: | https://alife-robotics.co.jp/members2018/icarob/data/html/data/OS_pdf/OS10/OS10-1.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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