Path Planning for Construction Machines by Offline Reinforcement Learning
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- Nakayama Tatsuya
- Shibaura Institute of Technology
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- Kashi Haruki
- Shibaura Institute of Technology
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- Uchimura Yutaka
- Shibaura Institute of Technology
Bibliographic Information
- Other Title
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- オフライン強化学習による重機の経路計画
Abstract
<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>
Journal
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- IEEJ Transactions on Industry Applications
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IEEJ Transactions on Industry Applications 144 (5), 367-373, 2024-05-01
The Institute of Electrical Engineers of Japan
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Keywords
Details 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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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
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- Abstract License Flag
- Disallowed