Journal of Robotics, Networking and Artificial Life

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Volume 5, Issue 1, June 2018, Pages 56 - 62

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

Authors
Akira Nakamuraa-nakamura@aist.go.jp, Kazuyuki Nagatak-nagata@aist.go.jp
Intelligent Systems Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) Central 2, 1-1-1 Umezono, Tsukuba, Ibaraki, 305-8568 Japan
Kensuke Haradaharada@sys.es.osaka-u.ac.jp
Robotic Manipulation Research Group, Systems Innovation Department, Graduate School of Engineering Science, Osaka University 1-3 Machikaneyama, Toyonaka 560-8531, Japan
Natsuki Yamanoben-yamanobe@aist.go.jp
Intelligent Systems Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) Central 2, 1-1-1 Umezono, Tsukuba, Ibaraki, 305-8568 Japan
Available Online 30 June 2018.
DOI
10.2991/jrnal.2018.5.1.13How to use a DOI?
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.

Copyright
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/).

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<Previous Article In Issue
Next Article In Issue>
Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
5 - 1
Pages
56 - 62
Publication Date
2018/06/30
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.2018.5.1.13How to use a DOI?
Copyright
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

risenwbib
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  -