Autonomous Driving of Six-Wheeled Dump Truck with a Retrofitted Robot

Tomohiro Komatsu, Yota Konno, Seiga Kiribayashi, Keiji Nagatani, Takahiro Suzuki, Kazunori Ohno, Taro Suzuki, Naoto Miyamoto, Yukinori Shibata, Kimitaka Asano

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

7 Citations (Scopus)


In Japan, expectations for the automation of construction machines are increasing to solve the labor shortage in the construction industry. In this research, a robotization method by retrofitting a robot to conventional construction machines is introduced to lower the introduction barrier for regional construction companies. The target machine is a six-wheeled dump truck. With a retrofitted internal sensor unit and derived kinematics of six-wheeled articulated dump truck, a conventional Global Navigation Satellite System (GNSS)-based path tracking method was implemented on it. In addition, to ensure safety during operation, an emergency stop function was installed on the dump truck with three-dimensional Light Detection and Ranging (3D LiDAR). Initial experiments of forward and backward path tracking with an actual dump truck confirmed the validity of the method, and the maximum tracking error was 1 m. Further, in an emergency stop experiment, the dump truck detected the obstacle and stopped immediately after obstacle detection within the emergency-stop region, i.e., 25 m x 3 m in front of the dump truck. Based on the initial experiments, the authors concluded that even the retrofitted conventional dump truck could perform basic functions for autonomous driving, such as path tracking and emergency stop.

Original languageEnglish
Title of host publicationSpringer Proceedings in Advanced Robotics
PublisherSpringer Science and Business Media B.V.
Number of pages14
Publication statusPublished - 2021

Publication series

NameSpringer Proceedings in Advanced Robotics
ISSN (Print)2511-1256
ISSN (Electronic)2511-1264


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