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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.00249 |
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| _version_ | 1866929736295383040 |
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| author | Ajith, Abhiroop Narayanan, Gokul Zornow, Jonathan Calle, Carlos Lugo, Auralis Herrero Rincon, Jose Luis Susa Wen, Chengtao Solowjow, Eugen |
| author_facet | Ajith, Abhiroop Narayanan, Gokul Zornow, Jonathan Calle, Carlos Lugo, Auralis Herrero Rincon, Jose Luis Susa Wen, Chengtao Solowjow, Eugen |
| contents | Sewing garments using robots has consistently posed a research challenge due to the inherent complexities in fabric manipulation. In this paper, we introduce an intelligent robotic automation system designed to address this issue. By employing a patented technique that temporarily stiffens garments, we eliminate the traditional necessity for fabric modeling. Our methodological approach is rooted in a meticulously designed three-stage pipeline: first, an accurate pose estimation of the cut fabric pieces; second, a procedure to temporarily join fabric pieces; and third, a closed-loop visual servoing technique for the sewing process. Demonstrating versatility across various fabric types, our approach has been successfully validated in practical settings, notably with cotton material at the Bluewater Defense production line and denim material at Levi's research facility. The techniques described in this paper integrate robotic mechanisms with traditional sewing machines, devising a real-time sewing algorithm, and providing hands-on validation through a collaborative robot setup. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_00249 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Robotic Automation in Apparel Manufacturing: A Novel Approach to Fabric Handling and Sewing Ajith, Abhiroop Narayanan, Gokul Zornow, Jonathan Calle, Carlos Lugo, Auralis Herrero Rincon, Jose Luis Susa Wen, Chengtao Solowjow, Eugen Robotics Sewing garments using robots has consistently posed a research challenge due to the inherent complexities in fabric manipulation. In this paper, we introduce an intelligent robotic automation system designed to address this issue. By employing a patented technique that temporarily stiffens garments, we eliminate the traditional necessity for fabric modeling. Our methodological approach is rooted in a meticulously designed three-stage pipeline: first, an accurate pose estimation of the cut fabric pieces; second, a procedure to temporarily join fabric pieces; and third, a closed-loop visual servoing technique for the sewing process. Demonstrating versatility across various fabric types, our approach has been successfully validated in practical settings, notably with cotton material at the Bluewater Defense production line and denim material at Levi's research facility. The techniques described in this paper integrate robotic mechanisms with traditional sewing machines, devising a real-time sewing algorithm, and providing hands-on validation through a collaborative robot setup. |
| title | Robotic Automation in Apparel Manufacturing: A Novel Approach to Fabric Handling and Sewing |
| topic | Robotics |
| url | https://arxiv.org/abs/2503.00249 |