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

DOI

10.2991/jrnal.2017.4.3.3How to use a DOI?

Keywords

PID Controller, Human Skill Evaluation, Data-Driven.

Abstract

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Kazushige Koiwai
AU  - Toru Yamamoto
AU  - Takao Nanjo
AU  - Yoichiro Yamazaki
PY  - 2017
DA  - 2017/12/01
TI  - Feature Extraction for Digging Operation of Excavator Based on Data-Driven Skill-Based PID Controller
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 191
EP  - 194
VL  - 4
IS  - 3
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2017.4.3.3
DO  - 10.2991/jrnal.2017.4.3.3
ID  - Koiwai2017
ER  -