Publication:
Particle-based perception of garment folding for robotic manipulation purposes

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dc.citedby8
dc.contributor.authorHou Y.C.en_US
dc.contributor.authorMohamed Sahari K.S.en_US
dc.contributor.authorWeng L.Y.en_US
dc.contributor.authorHow D.N.T.en_US
dc.contributor.authorSeki H.en_US
dc.contributor.authorid37067465000en_US
dc.contributor.authorid57218170038en_US
dc.contributor.authorid26326032700en_US
dc.contributor.authorid56942483000en_US
dc.contributor.authorid7202492680en_US
dc.date.accessioned2023-05-29T06:37:26Z
dc.date.available2023-05-29T06:37:26Z
dc.date.issued2017
dc.descriptionMobile robots; Object recognition; Robotics; Robots; Combined model; Deformable object; Home service robot; Polygonal modeling; Polygonal models; Recognition process; Robotic manipulation; Robotic platforms; Parameter estimationen_US
dc.description.abstractThe research focuses on the development of a robust home service robot that is capable of doing multiple types of household chores. This work considers the problem of garment perception and folding procedure by a home service robot, focusing on the task of recognizing a piece of spread-out garment on a flat platform. The robotic platform setup is as general as possible to enable the robot to cater for multiple types of household chores. We propose a novel approach to understand the perception for a piece of garment using particle-based polygonal model and an algorithm to best-fit the model into the garment in an image directly rather than designing the template from a software. The simplest way to analyze the basic configuration of a piece of unknown garment is to spread out the garment on a flat platform. There must be contrast between the background and the garment color to enable proper recognition process. At the moment, the garment is aligned at a certain orientation for simplicity. We defined the particle-based polygonal model for three garment categories: towel, shirt, and trousers. Each category has its own model and parameters. We presume a garment consists of at least one main body and other supplementary parts, for example, collar or sleeve, if they exist. Hence, we consider towel consists of only one main body, whereas shirt and trousers consist of one main body and two supplementary parts. Centroid and contour for each part of garment are measured after the garment is discretized. By matching the particle-based model into its discretized contour and generate the combined model, the parameters for each category of garment can be estimated. Once the parameters of garment are obtained from the proposed model, the folding procedure is then determined. Practical garment folding using different types of garments were executed to evaluate the proposed approach. Based on the experimental results, the proposed particle-based polygonal models for the three types of garments have been successful, where the parameters can be estimated, which provides important decision on the folding algorithm. Using our approach, different types and sizes of garment can be robustly handled by a home service robot. � The Author(s) 2017.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1177/1729881417738727
dc.identifier.issue6
dc.identifier.scopus2-s2.0-85039896856
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85039896856&doi=10.1177%2f1729881417738727&partnerID=40&md5=67eaf84a8d7713ffa0b2f680d32e7e5c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23015
dc.identifier.volume14
dc.publisherSAGE Publications Inc.en_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleInternational Journal of Advanced Robotic Systems
dc.titleParticle-based perception of garment folding for robotic manipulation purposesen_US
dc.typeArticleen_US
dspace.entity.typePublication
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