Path Planning of the Turning Back of an Autonomous Large-Scale Six-Wheeled Dump Truck for Loading/Leaving Sediment Based on Backhoe Work

Tetsu Akegawa, Kazunori Ohno, Shotaro Kojima, Kento Yamada, Wiru Go, Taro Suzuki, Seiga Kiribayashi, Tomohiro Komatsu, Naoto Miyamoto, Takahiro Suzuki, Yukinori Shibata, Kimitaka Asano, Keiji Nagatani, Satoshi Tadokoro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

There is an urgent need to automate earthmoving activities for large-scale six-wheeled dump trucks using retrofitted sensors and driving robots. A dump truck stops at a loading position with its bed facing the backhoe to fill the bed with sediment quickly. It also stops with its bed facing the leaving position. Therefore, it is necessary to plan ahead to safely and accurately enter and exit those working positions. However, existing path planners did not generate a path with a turning point that is suitable for large-scale six-wheeled dump truck loading sediment. In this paper, we propose an online pathplanning method with the following main features. First, a path is planned to move the dump truck forward and/or backward to the working position to load and/or leave sediment. Second, when a new working position is designated, a path from the turning position to the new goal position is automatically established. We verified the proposed method using a simulator of the dump truck (3.5 m × 11 m), showing that it is possible to properly account for the turning radius of the dump truck. The result reveals that it is possible to replan with a working position shift of 4.8 m or 33° from a 25 m distance and that the time required for replanning can be shortened to ≤ 7.56 s. We also confirmed that the large-scale autonomous dump truck can automatically stop at the loading position in cooperation with a humanoperated backhoe 10 out of 10 times with a stopping accuracy of 0.57 m and 5.29°.

Original languageEnglish
Title of host publication2022 IEEE/SICE International Symposium on System Integration, SII 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages511-518
Number of pages8
ISBN (Electronic)9781665445405
DOIs
Publication statusPublished - 2022
Event2022 IEEE/SICE International Symposium on System Integration, SII 2022 - Virtual, Narvik, Norway
Duration: 2022 Jan 92022 Jan 12

Publication series

Name2022 IEEE/SICE International Symposium on System Integration, SII 2022

Conference

Conference2022 IEEE/SICE International Symposium on System Integration, SII 2022
Country/TerritoryNorway
CityVirtual, Narvik
Period22/1/922/1/12

ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Biomedical Engineering
  • Control and Systems Engineering
  • Mechanical Engineering
  • Control and Optimization

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