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.
Authors
- Álvaro Ramírez-Gómez (ORCID: https://orcid.org/0000-0002-4126-1309)
- Jinzhu Shen (ORCID: https://orcid.org/0000-0002-8361-9858)
- Jianping Wang (ORCID: https://orcid.org/0000-0002-6528-9074)
- Fan Zhang (ORCID: https://orcid.org/0000-0002-3658-9887)
- Yitong Li (ORCID: https://orcid.org/0009-0005-1955-4518)
Institutions
- Tongji University (CN)
- Donghua University (CN)
- Suzhou Thermal Engineering Research Institute (CN)
- Universidad Politécnica de Madrid (ES)
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
- Fundamental Research Funds for the Central Universities