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Robot End-effector for Fabric Folding

Authors: Akira Seino; Junya Terayama; Fuyuki Tokuda; Akinari Kobayashi; Kazuhiro Kosuge;

Robot End-effector for Fabric Folding

Abstract

<p>In this paper, we propose a robot end-effector for fabric folding of a fabric part of a garment along a straight line. In the garment production process, some of the edges of fabric parts of a garment need to be folded before sewing. Conventional automated folding system has a fixture designed for each folding fabric part and operation. The fixture is not universal and needs to be redesigned when the shape of the folded fabric part changes. In this paper, we consider performing fabric folding without using a fixture. We propose a concept of a robot end-effector for fabric folding of a fabric part along a straight fold line and develop a prototype of an end-effector referred to as“ F-FOLD ”(Free-form FOLDing). Folding of the edge of a fabric part is achieved by moving FFOLD along the desired straight fold line. Experimental results illustrate how F-FOLD works to fold a fabric part along a straight line.</p> <p><br></p> <p> *The complete version of this preprint paper is published in IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics . Please refer to "https://ieeexplore.ieee.org/document/10196184". </p>

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Top 10%
Top 10%
hybrid