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Robotic Sewing System for Fully Automated Fabric Picking, Stacking, Loading, Sewing, and Unloading

  • Fuyuki Tokuda*
  • , Akira Seino
  • , Akinari Kobayashi
  • , Kazuhiro Kosuge
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Sewing is a labor-intensive process that still heavily relies on human operators in garment production. To reduce manual effort, semi-automatic sewing machines have been introduced, but they require dedicated fixtures that must be redesigned for each fabric shape, size, material, and seam line. This paper proposes a fully automated sewing system without the use of dedicated fixtures. The system performs fabric picking, stacking, loading, sewing, and unloading for relatively thin fabrics. The system consists of a dual-arm manipulator, rolling-up end-effectors, a sewing head of a pattern sewer, force sensors, and cameras. The system is designed so that all devices can be centrally controlled by a single PC. A control strategy is also presented, including image segmentation, pose estimation, and end-effector trajectory calculation for sewing along a predefined seam line. Experimental results demonstrate consistent and high-quality stitching along various predefined seam lines. © 2025 IEEE.
Original languageEnglish
Title of host publication2025 IEEE International Conference on Mechatronics and Automation
PublisherIEEE
Pages1124-1130
ISBN (Electronic)979-8-3315-1426-6, 979-8-3315-1425-9
ISBN (Print)9798331514242, 979-8-3315-1427-3
DOIs
Publication statusPublished - 2025
Externally publishedYes
Event22nd IEEE International Conference on Mechatronics and Automation (IEEE ICMA 2025) - Beijing, China
Duration: 3 Aug 20256 Aug 2025

Publication series

NameIEEE International Conference on Mechatronics and Automation, ICMA
ISSN (Print)2152-7431
ISSN (Electronic)2152-744X

Conference

Conference22nd IEEE International Conference on Mechatronics and Automation (IEEE ICMA 2025)
PlaceChina
CityBeijing
Period3/08/256/08/25

Funding

This work was supported in part by the Innovation and Technology Commission of the HKSAR Government under the InnoHK initiative. The research work described in this paper was in part conducted in the JC STEM Lab of Robotics for Soft Materials funded by The Hong Kong Jockey Club Charities Trust.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

  • automation
  • manipulators
  • Robots
  • sewing

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