Intelligent and Precise Textile Drop-Off: A New Strategy for Integrating Soft Fingers and Machine Vision Technology

This study presents a novel drop-off strategy for automated fabric handling in intelligent apparel manufacturing, addressing the critical challenge of drift-free placement of lightweight, flexible textiles. A pneumatically driven retractable plate is introduced as an auxiliary device, along with machine vision technology, to eliminate drop-off deviations inherent in traditional soft grippers. By synchronizing the retraction motion of the plate with soft gripper release, the fabric is transferred onto the target surface without free-fall drift, achieving sub-0.5 mm alignment accuracy across 15 fabric types. Machine vision-based inspection validates drop-off quality in real time. This work offers a low-cost, drift-free drop-off solution for pre-sewing automation.

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Institutions

Publication Details

Journal
Textiles
Published
2025-08-12
DOI
https://doi.org/10.3390/textiles5030034
Citations
2
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
2.43

Funders

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article

Intelligent and Precise Textile Drop-Off: A New Strategy for Integrating Soft Fingers and Machine Vision Technology

Álvaro Ramírez-Gómez, Jinzhu Shen, Jianping Wang, Fan Zhang et al.
2 citations
Textiles
Robot Manipulation and Learning
2.43
article

Intelligent and Precise Textile Drop-Off: A New Strategy for Integrating Soft Fingers and Machine Vision Technology

Álvaro Ramírez-Gómez, Jinzhu Shen, Jianping Wang, Fan Zhang, Yitong Li
article en
2 citations

Abstract

This study presents a novel drop-off strategy for automated fabric handling in intelligent apparel manufacturing, addressing the critical challenge of drift-free placement of lightweight, flexible textiles. A pneumatically driven retractable plate is introduced as an auxiliary device, along with machine vision technology, to eliminate drop-off deviations inherent in traditional soft grippers. By synchronizing the retraction motion of the plate with soft gripper release, the fabric is transferred onto the target surface without free-fall drift, achieving sub-0.5 mm alignment accuracy across 15 fabric types. Machine vision-based inspection validates drop-off quality in real time. This work offers a low-cost, drift-free drop-off solution for pre-sewing automation.

TextilesVol. 5(3)
Tongji University (CN), Donghua University (CN), Suzhou Thermal Engineering Research Institute (CN), Universidad Politécnica de Madrid (ES)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 10%
Robot Manipulation and Learning
2.43
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Intelligent and Precise Textile Drop-Off: A New Strategy for Integrating Soft Fingers and Machine Vision Technology — Álvaro Ramírez-Gómez, Jinzhu Shen, et al. · Textiles (2025) | TGRS Research Map | TGRS