Optimization of grading path planning for an autonomous construction machine

Kazuki Kuzu, Fuga Ohashi, Yutaka Uchimura

研究成果: Article査読

1 被引用数 (Scopus)

抄録

The construction industry, which faces an aging workforce and shortages of skilled labor, presents attractive opportunities for autonomous heavy construction machinery. To achieve this goal, many difficulties must be overcome. Most of the problems are nonlinear and cannot be solved through convex optimization. Bulldozer operation presents especially difficult challenges, as it is a skilled trade and obtaining an operational method for bulldozers analytically is difficult. In this study, we optimized the route planning of a simulated bulldozer by using a genetic algorithm. To properly evaluate the solution candidates, we developed a simulator that emulates the dynamics of a sand mound. This paper describes the developed simulator and discusses the optimization of bulldozer paths on construction sites.

本文言語English
ページ(範囲)497-504
ページ数8
ジャーナルIEEJ Journal of Industry Applications
9
5
DOI
出版ステータスPublished - 2020 9 1

ASJC Scopus subject areas

  • 自動車工学
  • エネルギー工学および電力技術
  • 機械工学
  • 産業および生産工学
  • 電子工学および電気工学

フィンガープリント

「Optimization of grading path planning for an autonomous construction machine」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル