書誌事項
- タイトル別名
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- Domain Adaptation for Autonomous Moving Control by Imitation Learning
説明
<p>Imitation learning is one of the techniques for autonomous control in robotics. This technique enables robot to autonomous control by human demonstrations. However, in a different environment from demonstrations, test of autonomous control based on learning result is often fail because domain that distribution of dataset between demonstration and test is difference. In domain adaptation, this approach transfers knowledge of an environment with sufficient domain to an environment with insufficient domain and it enables autonomous control even in an environment with a small amount of demonstration. We verify the domain adaptation to autonomous moving control by imitation learning and clarify the problem.</p>
収録刊行物
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- ロボティクス・メカトロニクス講演会講演概要集
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ロボティクス・メカトロニクス講演会講演概要集 2020 (0), 2A1-L04-, 2020
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1391975276382062464
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- NII論文ID
- 130007943862
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- ISSN
- 24243124
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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
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可