Research on Automatic Sewing Process of Garment 
Based on Industrial Robot Application

Huifen Lai; Pingli Zhang

doi:10.70711/aitr.v3i7.8866

Research on Automatic Sewing Process of Garment Based on Industrial Robot Application

Huifen Lai, Pingli Zhang

Abstract

The garment manufacturing industry faces dual challenges of labor shortages and production efficiency enhancement. Industrial
robots have demonstrated significant application value in automated sewing, with this study establishing a comprehensive automated sewing
process system that incorporates machine vision contour extraction, motion trajectory planning, and fuzzy impedance control technology. A
mathematical model for the driving force of a press plate sewing robot was developed, validated through finite element simulations and physical experiments. This technology provides a theoretical foundation for achieving full automation in garment production.

Keywords

Industrial robot; Automated sewing; Machine vision; Trajectory planning; Fuzzy impedance control

Full Text:

PDF

Included Database

References

[1] Li Ruolei, Li Yaoguang, Yan Xin. Design of a Vision-Based Control System for Sewing Robots [J]. New Industrialization, 2022,

12(01):62-66.

[2] Li Shun, Jia Yanjun, Li Xinrong, et al. Modeling of driving force for a press plate-based suturing robot based on buckling deformation [J].

Journal of Textile Science, 2025, 46(04):215-225.

[3] Yan X, Ma L, Wang X, et al. Kinematic analysis of sewing robots based on quaternions [J]. Mechanical Transmission, 2020, 44(10):68-

73.

[4] Wang Xiaohua, Wang Yuhe, Zhang Lei, et al. Fuzzy impedance control of fabric tension and position in sewing robots [J]. Journal of

Textile Science, 2021, 42(11):173-178.

[5] Wang T, Tan H, Wang H. Predicting human-machine collaborative sewing intentions based on GA-optimized RBF model [J]. Electrical

Drive Automation, 2020, 42(06):1-6.

DOI: http://dx.doi.org/10.70711/aitr.v3i7.8866

Refbacks

There are currently no refbacks.