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JRM_25(1)_88.pdf | 3.13 MB | Adobe PDF | 見る/開く |
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DCフィールド | 値 | 言語 |
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dc.contributor.author | Hirose, Tatsuya | en |
dc.contributor.author | Taniguchi, Tadahiro | en |
dc.contributor.alternative | 廣瀬, 達也 | ja |
dc.date.accessioned | 2013-03-25T01:33:21Z | - |
dc.date.available | 2013-03-25T01:33:21Z | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 0915-3942 | - |
dc.identifier.uri | http://hdl.handle.net/2433/172346 | - |
dc.description.abstract | Imitative learning is an effective method for robots to obtain a novel movement from a person demonstrating many kinds of movement. Many problems need to be solved, however, before a robot can achieve imitative learning. One problem is how to convert visual information on the demonstrator’s motion to kinematic posture information for the learner. This is referred to as a correspondence problem and we have focused on this problem in this study. To solve it, we focus on the formation of a low-dimensional representation that integrates sensory information from two different modalities. We propose a computation method for constructing the low-dimensional representation combining posture information and visual images by using Kernel Canonical Correlation Analysis (KCCA). Using this method, a robot becomes able to estimate posture information from visual images in a bottom-up way. Using several experiments we show how effective our proposed method is in estimating kinematic information. | en |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Fuji Technology Press | en |
dc.rights | (C) 2013 Fuji Technology Press Co, . Ltd. | en |
dc.rights | This is not the published version. Please cite only the published version. | en |
dc.rights | この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。 | ja |
dc.subject | kernel canonical correlation analysis | en |
dc.subject | imitation learning | en |
dc.subject | body schema | en |
dc.title | Abstraction Multimodal Low-Dimensional Representation from High-Dimensional Posture Information and Visual Images | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.jtitle | Journal of Robotics and Mechatronics | en |
dc.identifier.volume | 25 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 80 | - |
dc.identifier.epage | 88 | - |
dc.relation.doi | 10.20965/jrm.2013.p0080 | - |
dc.textversion | author | - |
dc.relation.url | http://www.fujipress.jp/finder/xslt.php?mode=present&inputfile=ROBOT002500010008.xml | - |
dcterms.accessRights | open access | - |
出現コレクション: | 学術雑誌掲載論文等 |
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