Journal of Robotics, Networking and Artificial Life

Volume 4, Issue 2, September 2017, Pages 134 - 137

The Suitable Timing of Visual Sensing in Error Recovery Using Task Stratification and Error Classification

Authors
Akira Nakamura, Kazuyuki Nagata, Kensuke Harada, Natsuki Yamanobe
Corresponding Author
Akira Nakamura
Available Online 1 September 2017.
DOI
https://doi.org/10.2991/jrnal.2017.4.2.6How to use a DOI?
Keywords
error recovery, task stratification, error classification, manipulation, sensing timing
Abstract
Judgment of errors for recovery is performed during execution of the system. Ideally, it is desirable for the judgment to be performed at several times. However, in that case, many sensors would be needed and it would lead to disturbing the workflow. Therefore, it is important to be able to judge an error efficiently in the most suitable timing and within a few attempts. This paper describes a method for efficient timing of visual sensing for error recovery.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
4 - 2
Pages
134 - 137
Publication Date
2017/09/01
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
https://doi.org/10.2991/jrnal.2017.4.2.6How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Akira Nakamura
AU  - Kazuyuki Nagata
AU  - Kensuke Harada
AU  - Natsuki Yamanobe
PY  - 2017
DA  - 2017/09/01
TI  - The Suitable Timing of Visual Sensing in Error Recovery Using Task Stratification and Error Classification
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 134
EP  - 137
VL  - 4
IS  - 2
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2017.4.2.6
DO  - https://doi.org/10.2991/jrnal.2017.4.2.6
ID  - Nakamura2017
ER  -