Japan Society of Civil Engineers 2019 Annual Meeting

Presentation information

第VI部門

建設ロボット

Tue. Sep 3, 2019 8:40 AM - 10:10 AM VI-8 (幸町総合教育棟 第22講義室)

座長:神﨑 恵三(熊谷組)

[VI-345] On exploring optimal spreading route for automated bulldozer using deep reinforcement learning

*田島 大輔1、浜本 研一1、三浦 悟1、登尾 大地2、タンカラット ブット3、小熊 正1、黒沼 出1、中山 裕2、林 和彦2、前原 貴徳3 (1. 鹿島建設(株)、2. (株)小松製作所、3. 理化学研究所)

Keywords:automated construction machines, bulldozer, spreading work, deep reinforcement learning, simulator

Recently, we are promoting research and development of the next generation automated construction system based on the automation technology of construction machinery. In an environment that changes dynamically like a construction site, a function that has an autonomy that is suitable for self-evident automated heavy machinery is required. In this paper, we will report on the development contents of deep reinforcement learning about spreading work of the bulldozer for improving the autonomy of the automated bulldozer.

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