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Fixture-Free Sewing System

Speaker

Fuyuki Tokuda, TransGP

Co-author

Kazuhiro Kosuge

Abstract

Sewing automation has been explored and semi-automatic sewing systems have been introduced to the market. These systems were designed to allow the operator to perform the sewing process without much training. Most semi-automatic sewing systems use fixtures to hold the pieces of fabric being sewn together. The fixtures need to be adjusted or redesigned for each fabric type, shape, and size. The semi-automatic sewing systems can only be used for mass production of garments. To address the issue, we propose a fixture-free 2D sewing system using a dual-arm manipulator. This system can sew two stacked layers of fabric pieces along a printed seam line of the top fabric piece, eliminating the need for fixtures. The proposed method incorporates vision-based seam line tracking control, which accurately guides the fabric stack sewn together along the printed seam line. The motion of both the aligned fabric pieces and the sewing needle is cinchonized. Our approach improves the accuracy and the adaptability of sewing processes, thus contributing to the advancement of automation in garment manufacturing.

Speaker Bio

Fuyuki Tokuda received the B.S. degree in Engineering from Nagoya Institute of Technology, Nagoya, Japan, in 2017, and the M.S. and Ph.D. degrees in engineering from Tohoku University, Sendai, Japan, in 2019 and 2022, respectively. From 2022 to 2023, he was a Post-Doctoral Fellow at the Centre for Transformative Garment Production, Hong Kong SAR, which was established by the collaborative research between the University of Hong Kong and Tohoku University, under the InnoHK initiative funded by the Innovation and Technology Commission of the Hong Kong Special Administrative Region (HKSAR) Government. He is currently serving as a Research Officer at the Centre for Transformative Garment Production, Hong Kong SAR, from 2023, and a Visiting Research Associate at the University of Hong Kong from 2022. This work is supported in part by the JC STEM Lab of Robotics for Soft Materials funded by The Hong Kong Jockey Club Charities Trust.

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