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Visual Presentation Interface to Reduce Effect of Machine Switching for Teleoperated Hydraulic Excavators.

Authors :
Nagai, Masaki
Masunaga, Junya
Ito, Masaru
Raima, Chiaki
Saiki, Seiji
Yamazaki, Yoichiro
Kurita, Yuichi
Source :
Journal of Robotics & Mechatronics. Apr2024, Vol. 36 Issue 2, p309-319. 11p.
Publication Year :
2024

Abstract

In the future, a situation in which operators switch between different machine classes in teleoperated hydraulic excavator is envisioned. In such a case, because the classes have different dynamic characteristics, the operator is expected to acquire an internal model for each class and switch models each time the operator switches between machines. However, in the case of teleoperated hydraulic excavator, the operator cannot obtain information such as the size and dynamic characteristics of the machine to be switched to; thus, the operator may not be able to switch internal models properly, which may affect the operation efficiency. Therefore, this study proposes a method in which images and videos are used to present the dynamic characteristics of the next machine to be operated during machine changeover in teleoperated hydraulic excavator. To verify the effectiveness of the proposed method, a simulator that imitates teleoperated hydraulic excavator was built and tested on test subjects. The swing operation time significantly increased when the machine was switched without presentation, compared with the case without switching. Meanwhile, the proposed method did not increase the swing operation time associated with machine switching, suggesting its effectiveness. The video presentation method was more effective than the image presentation method for suppressing the increase in swing operation time, indicating that the operator can immediately switch to an appropriate internal model with the presentation of the dynamic characteristics of the machine in advance using video. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
*EXCAVATING machinery
*MACHINERY

Details

Language :
English
ISSN :
09153942
Volume :
36
Issue :
2
Database :
Academic Search Index
Journal :
Journal of Robotics & Mechatronics
Publication Type :
Academic Journal
Accession number :
176721363
Full Text :
https://doi.org/10.20965/jrm.2024.p0309