書誌事項
- タイトル別名
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- Path Planning for Construction Machines by Offline Reinforcement Learning
抄録
<p>Controlling bulldozers at construction sites requires advanced skills. However, training skilled operators is time consuming and expensive. Additionally, the shortage of young workers is problematic. To address these issues, automation of construction machines using artificial intelligence has been studied, which has yielded positive results. Furthermore, using data collected from construction sites, reducing learning time and improving work accuracy is possible. Therefore, in this paper, we propose a path planning method for heavy equipment using offline reinforcement learning, leveraging existing datasets.</p>
収録刊行物
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- 電気学会論文誌D(産業応用部門誌)
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電気学会論文誌D(産業応用部門誌) 144 (5), 367-373, 2024-05-01
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390862943886143104
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- ISSN
- 13488163
- 09136339
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可