書誌事項
- タイトル別名
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- Success Detection by Force Information in Fitting Task of Pen Using Neural Network
抄録
<p>This paper proposes a success detection system for tasks with high generalization performance by neural networks using force information. Automation of anomaly detection is important. Especially, accurate judgment of the success and failure of tasks is important. For example recognizing the failure of the task improves the reliability of the task . However, conventional methods using machine learning cannot judge success and failure for objects which has not been trained. This paper showed that the neural network using force information can judge success and failure of tasks for objects which cannot be trained. This paper compared success detection methods using force information, image information, or position information. The results showed the method with force information resulted in the highest generalitation objects in a pen assembly task.</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 2019 (0), 2P1-R04-, 2019
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
- 1390002184856520448
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- NII論文ID
- 130007775181
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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