Cloth manipulation based on motion generation and shape prediction by EM*D-net

In this paper, we describe a motion planning method for cloth manipulation. We address the problem that only the current shape of the cloth product and its target shape are given. To accomplish this task, it is necessary to determine how to manipulate the cloth and to predict the manipulated shape o...

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Main Authors: Daisuke TANAKA, Solvi ARNOLD, Kimitoshi YAMAZAKI
Format: Article
Language:Japanese
Published: The Japan Society of Mechanical Engineers 2018-06-01
Series:Nihon Kikai Gakkai ronbunshu
Subjects:
Online Access:https://www.jstage.jst.go.jp/article/transjsme/84/864/84_18-00069/_pdf/-char/en
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author Daisuke TANAKA
Solvi ARNOLD
Kimitoshi YAMAZAKI
author_facet Daisuke TANAKA
Solvi ARNOLD
Kimitoshi YAMAZAKI
author_sort Daisuke TANAKA
collection DOAJ
description In this paper, we describe a motion planning method for cloth manipulation. We address the problem that only the current shape of the cloth product and its target shape are given. To accomplish this task, it is necessary to determine how to manipulate the cloth and to predict the manipulated shape of the cloth. Therefore, we propose a novel method using deep neural network. An input of the network is a voxelized cloth shape and conceivable manipulations, and an output is a voxelized cloth shape after the manipulations. The effectiveness of the proposed method was proven by experiments using a dual-armed robot. It included quantitative evaluation about the manipulated shape of a rectangular cloth. It was also studied that how to prepare appropriate learning data and do learning well.
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publishDate 2018-06-01
publisher The Japan Society of Mechanical Engineers
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spelling doaj.art-f407b0504fea4081a9c58c543620ecea2022-12-22T04:35:16ZjpnThe Japan Society of Mechanical EngineersNihon Kikai Gakkai ronbunshu2187-97612018-06-018486418-0006918-0006910.1299/transjsme.18-00069transjsmeCloth manipulation based on motion generation and shape prediction by EM*D-netDaisuke TANAKA0Solvi ARNOLD1Kimitoshi YAMAZAKI2Mechanical Systems Engineering, Shinshu UniversityMechanical Systems Engineering, Faculty of Engineering, Shinshu UniversityMechanical Systems Engineering, Faculty of Engineering, Shinshu UniversityIn this paper, we describe a motion planning method for cloth manipulation. We address the problem that only the current shape of the cloth product and its target shape are given. To accomplish this task, it is necessary to determine how to manipulate the cloth and to predict the manipulated shape of the cloth. Therefore, we propose a novel method using deep neural network. An input of the network is a voxelized cloth shape and conceivable manipulations, and an output is a voxelized cloth shape after the manipulations. The effectiveness of the proposed method was proven by experiments using a dual-armed robot. It included quantitative evaluation about the manipulated shape of a rectangular cloth. It was also studied that how to prepare appropriate learning data and do learning well.https://www.jstage.jst.go.jp/article/transjsme/84/864/84_18-00069/_pdf/-char/encloth manipulationplanningmulti-step manipulation
spellingShingle Daisuke TANAKA
Solvi ARNOLD
Kimitoshi YAMAZAKI
Cloth manipulation based on motion generation and shape prediction by EM*D-net
Nihon Kikai Gakkai ronbunshu
cloth manipulation
planning
multi-step manipulation
title Cloth manipulation based on motion generation and shape prediction by EM*D-net
title_full Cloth manipulation based on motion generation and shape prediction by EM*D-net
title_fullStr Cloth manipulation based on motion generation and shape prediction by EM*D-net
title_full_unstemmed Cloth manipulation based on motion generation and shape prediction by EM*D-net
title_short Cloth manipulation based on motion generation and shape prediction by EM*D-net
title_sort cloth manipulation based on motion generation and shape prediction by em d net
topic cloth manipulation
planning
multi-step manipulation
url https://www.jstage.jst.go.jp/article/transjsme/84/864/84_18-00069/_pdf/-char/en
work_keys_str_mv AT daisuketanaka clothmanipulationbasedonmotiongenerationandshapepredictionbyemdnet
AT solviarnold clothmanipulationbasedonmotiongenerationandshapepredictionbyemdnet
AT kimitoshiyamazaki clothmanipulationbasedonmotiongenerationandshapepredictionbyemdnet