OpenTie: Open-vocabulary Sequential Rebar Tying System
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915470686289920 |
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| author | Liu, Mingze Fan, Sai Li, Haozhen Liang, Haobo Yuan, Yixing Wang, Yanke |
| author_facet | Liu, Mingze Fan, Sai Li, Haozhen Liang, Haobo Yuan, Yixing Wang, Yanke |
| contents | Robotic practices on the construction site emerge as an attention-attracting manner owing to their capability of tackle complex challenges, especially in the rebar-involved scenarios. Most of existing products and research are mainly focused on flat rebar setting with model training demands. To fulfill this gap, we propose OpenTie, a 3D training-free rebar tying framework utilizing a RGB-to-point-cloud generation and an open-vocabulary detection. We implements the OpenTie via a robotic arm with a binocular camera and guarantees a high accuracy by applying the prompt-based object detection method on the image filtered by our propose post-processing procedure based a image to point cloud generation framework. The system is flexible for horizontal and vertical rebar tying tasks and the experiments on the real-world rebar setting verifies that the effectiveness of the system in practice. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_00064 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | OpenTie: Open-vocabulary Sequential Rebar Tying System Liu, Mingze Fan, Sai Li, Haozhen Liang, Haobo Yuan, Yixing Wang, Yanke Robotics Computer Vision and Pattern Recognition Robotic practices on the construction site emerge as an attention-attracting manner owing to their capability of tackle complex challenges, especially in the rebar-involved scenarios. Most of existing products and research are mainly focused on flat rebar setting with model training demands. To fulfill this gap, we propose OpenTie, a 3D training-free rebar tying framework utilizing a RGB-to-point-cloud generation and an open-vocabulary detection. We implements the OpenTie via a robotic arm with a binocular camera and guarantees a high accuracy by applying the prompt-based object detection method on the image filtered by our propose post-processing procedure based a image to point cloud generation framework. The system is flexible for horizontal and vertical rebar tying tasks and the experiments on the real-world rebar setting verifies that the effectiveness of the system in practice. |
| title | OpenTie: Open-vocabulary Sequential Rebar Tying System |
| topic | Robotics Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2509.00064 |