Motion Segmentation and Recognition for Imitation Learning and Influence of Bias for Learning Walking Motion of Humanoid Robot Based on Human Demonstrated Motion

Material type: 文書・図像類

Author: Takahashi, Yasutakeほか

Publisher: Fuji Technology Press

Publication date: 2015-07-17

Material Format: Digital

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Note (General)：: Two main issues arise in practical imitation learning by humanoid robots observing human behavior – the first is segmenting and recognizing motion dem...

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Material Type: 文書・図像類
Title: Motion Segmentation and Recognition for Imitation Learning and Influence of Bias for Learning Walking Motion of Humanoid Robot Based on Human Demonstrated Motion
Author/Editor: Takahashi, Yasutake
Hatano, Hiroki
Maida, Yosuke
Usui, Kazuyuki
Maeda, Yoichiro
Author Heading: Takahashi, Yasutake
Hatano, Hiroki
Maida, Yosuke
Usui, Kazuyuki
Maeda, Yoichiro
Publication, Distribution, etc.: Fuji Technology Press
Publication Date: 2015-07-17
Publication Date (W3CDTF): 2015-07-17
Periodical title: Journal of Advanced Computational Intelligence and Intelligent Informatics
No. or year of volume/issue: 19 4
Volume: 19
Issue: 4
Pages: 532-543
ISSN (Periodical Title): ISSN : 1343-0130
Text Language Code: eng
Subject Heading: motion segmentation and recognition
imitation learning
learning bias
humanoid robot
via-point representation
Target Audience: 一般
Note (General): Two main issues arise in practical imitation learning by humanoid robots observing human behavior – the first is segmenting and recognizing motion demonstrated naturally by a human beings and the second is utilizing the demonstrated motion for imitation learning. Specifically, the first involves motion segmentation and recognition based on the humanoid robot motion repertoire for imitation learning and the second introduces learning bias based on demonstrated motion in the humanoid robot's imitation learning to walk. We show the validity of our motion segmentation and recognition in a practical way and report the results of our investigation in the influence of learning bias in humanoid robot simulations.
Source: https://u-fukui.repo.nii.ac.jp/?action=repository_action_common_download&item_id=22903&item_no=1&attribute_id=22&file_no=1
https://u-fukui.repo.nii.ac.jp/?action=repository_action_common_download&item_id=22903&item_no=1&attribute_id=22&file_no=1
Access Restrictions: 限定公開
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 福井大学 : 福井大学学術機関リポジトリ