N value hstimation Method for Hydraulic Excavator in Real Time by Using Logistic Regression Model

被引：0

作者：

Tani, Hirotaka ^{[1
]}

Hayakawa, Soichiro ^{[1
]}

Ikeura, Ryojun ^{[1
]}

Ooi, Takeshi ^{[2
]}

Nakamura, Takuma ^{[2
]}

机构：

[1] Mie Univ, Grad Sch Engn, Dept Mech Engn, 1577 Kuri Machiya Machi, Tsu, Mie 5148507, Japan

[2] Komatsu, Dev Div, Technol Innovat Ctr, Hiratsuka, Kanagawa, Japan

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (IEEE ROBIO 2017) | 2017年

关键词：

Hydraulic excavator; soil; logistic regression model; real time;

D O I：

暂无

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

In this paper, we proposed a real time soil estimation method during hydraulic excavation by using a logistic regression model. First, we collected digging data on the same landform. The soil quality estimation model was identified from the obtained information. Then, soil quality estimation was performed using evaluation data not used for the model. As a result, it was possible to estimate everything accurately, and the validity of the model was verified.

引用

页码：1352 / 1357

页数：6