Feature Extraction for Digging Operation of Excavator Based on Data-Driven Skill-Based PID Controller

Improvement of the work efficiency is demanded by aging and reducing of the working population in the construction field, so that some automation technologies are applied to construction equipment, such as bulldozers and excavators. However, not only the automation technologies but also expert skill...

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Main Authors: Kazushige Koiwai, Toru Yamamoto, Takao Nanjo, Yoichiro Yamazaki
Format: Article
Language:English
Published: Atlantis Press 2017-11-01
Series:Journal of Robotics, Networking and Artificial Life (JRNAL)
Subjects:
Online Access:https://www.atlantis-press.com/article/25887817.pdf
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spelling doaj-ef4cf00497f9485d8c7dbe49d92687372020-11-25T02:08:40ZengAtlantis PressJournal of Robotics, Networking and Artificial Life (JRNAL)2352-63862017-11-014310.2991/jrnal.2017.4.3.3Feature Extraction for Digging Operation of Excavator Based on Data-Driven Skill-Based PID ControllerKazushige KoiwaiToru YamamotoTakao NanjoYoichiro YamazakiImprovement of the work efficiency is demanded by aging and reducing of the working population in the construction field, so that some automation technologies are applied to construction equipment, such as bulldozers and excavators. However, not only the automation technologies but also expert skills are necessary to improve the work efficiency. In this paper, the human skill evaluation is proposed by the data-driven skill-based PID controller. The proposed method is applied to the excavator digging operation. As the result, the difference between the novice operation and the skilled operation is extracted. Moreover, the numerical difference is clarified based on the result.https://www.atlantis-press.com/article/25887817.pdfPID ControllerHuman Skill EvaluationData-Driven.
collection DOAJ
language English
format Article
sources DOAJ
author Kazushige Koiwai
Toru Yamamoto
Takao Nanjo
Yoichiro Yamazaki
spellingShingle Kazushige Koiwai
Toru Yamamoto
Takao Nanjo
Yoichiro Yamazaki
Feature Extraction for Digging Operation of Excavator Based on Data-Driven Skill-Based PID Controller
Journal of Robotics, Networking and Artificial Life (JRNAL)
PID Controller
Human Skill Evaluation
Data-Driven.
author_facet Kazushige Koiwai
Toru Yamamoto
Takao Nanjo
Yoichiro Yamazaki
author_sort Kazushige Koiwai
title Feature Extraction for Digging Operation of Excavator Based on Data-Driven Skill-Based PID Controller
title_short Feature Extraction for Digging Operation of Excavator Based on Data-Driven Skill-Based PID Controller
title_full Feature Extraction for Digging Operation of Excavator Based on Data-Driven Skill-Based PID Controller
title_fullStr Feature Extraction for Digging Operation of Excavator Based on Data-Driven Skill-Based PID Controller
title_full_unstemmed Feature Extraction for Digging Operation of Excavator Based on Data-Driven Skill-Based PID Controller
title_sort feature extraction for digging operation of excavator based on data-driven skill-based pid controller
publisher Atlantis Press
series Journal of Robotics, Networking and Artificial Life (JRNAL)
issn 2352-6386
publishDate 2017-11-01
description Improvement of the work efficiency is demanded by aging and reducing of the working population in the construction field, so that some automation technologies are applied to construction equipment, such as bulldozers and excavators. However, not only the automation technologies but also expert skills are necessary to improve the work efficiency. In this paper, the human skill evaluation is proposed by the data-driven skill-based PID controller. The proposed method is applied to the excavator digging operation. As the result, the difference between the novice operation and the skilled operation is extracted. Moreover, the numerical difference is clarified based on the result.
topic PID Controller
Human Skill Evaluation
Data-Driven.
url https://www.atlantis-press.com/article/25887817.pdf
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AT takaonanjo featureextractionfordiggingoperationofexcavatorbasedondatadrivenskillbasedpidcontroller
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