WEKO3
アイテム
Robot Motion Generation by Hand Demonstration
http://hdl.handle.net/10228/00008270
http://hdl.handle.net/10228/00008270222d0ef8-335d-44a7-a971-46a8e1a0d17a
| 名前 / ファイル | ライセンス | アクション |
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| アイテムタイプ | 会議発表論文 = Conference Paper(1) | |||||||||||||||||
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| 公開日 | 2021-05-24 | |||||||||||||||||
| 資源タイプ | ||||||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||||||||||
| 資源タイプ | conference paper | |||||||||||||||||
| タイトル | ||||||||||||||||||
| タイトル | Robot Motion Generation by Hand Demonstration | |||||||||||||||||
| 言語 | en | |||||||||||||||||
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| 言語 | eng | |||||||||||||||||
| 著者 |
Chumkamon, Sakmongkon
× Chumkamon, Sakmongkon× Yokkampon, Umaporn× 林, 英治
WEKO
30038
× 藤澤, 隆介
WEKO
28998
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| 抄録 | ||||||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||||||
| 内容記述 | Since traditional robot teaching requires time and instruction to the robot motion, we present a systematic framework based on deep learning and experiment for generating robot motion trajectories from human hand demonstration. In this system, the worker could teach robot easier rather than assigning the instruction to the robot controller manually. Therefore, the robot can imitate the action in a new situation instead of directly teaching the robot arm. Our contributions include three points 1) the real-time extracting method of hand movement without marker using hand detection in 3D from human 2) the motion generalization of the hand trajectories from human 3) Robot path planning for grasping and place the object to the target. We also present the experiment conducted by the user movement for real data and evaluate the system using the manipulator robot. The investigation shows the pick-and-place task of the robot for food by hand demonstration. | |||||||||||||||||
| 備考 | ||||||||||||||||||
| 内容記述タイプ | Other | |||||||||||||||||
| 内容記述 | The 2021 International Conference on Artificial Life and Robotics (ICAROB 2021), January 21-24, 2021, Higashi-Hiroshima (オンライン開催に変更) | |||||||||||||||||
| 書誌情報 |
Proceedings of International Conference on Artificial Life & Robotics (ICAROB2021) p. 768-771, 発行日 2021-01 |
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| ISBN | ||||||||||||||||||
| 識別子タイプ | ISBN | |||||||||||||||||
| 関連識別子 | 978-4-9908350-6-4 | |||||||||||||||||
| ISSN | ||||||||||||||||||
| 収録物識別子タイプ | EISSN | |||||||||||||||||
| 収録物識別子 | 2435-9157 | |||||||||||||||||
| 著作権関連情報 | ||||||||||||||||||
| 権利情報 | Copyright (c) The 2021 International Conference on Artificial Life and Robotics (ICAROB2021) | |||||||||||||||||
| 出版タイプ | ||||||||||||||||||
| 出版タイプ | VoR | |||||||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||||||
| 査読の有無 | ||||||||||||||||||
| 値 | yes | |||||||||||||||||
| 連携ID | ||||||||||||||||||
| 値 | 8855 | |||||||||||||||||