A novel vision-based method for 3D profile extraction of wire harness in robotized assembly process
- Title
- A novel vision-based method for 3D profile extraction of wire harness in robotized assembly process
- Author
- 윤종헌
- Keywords
- Automation system; Convolutional neural network; Machine vision; Wire harness assembly
- Issue Date
- 2021-12
- Publisher
- ELSEVIER SCI LTD
- Citation
- JOURNAL OF MANUFACTURING SYSTEMS, Page. 1-28
- Abstract
- Automating stages for deformable objects in the production line, in which assembling a wire harness into a predefined position is a complex task owing to the specialized characteristics of the objects. Besides a few automatized systems proposed in the other studies to implement this task under simplified setup conditions, a significant portion of this process remains to be completed manually in industrial environments. To construct an automatic wire harness assembly system, the development of a method that can automatically detect the wire harness profile in a 3D environment and, consequently, guide robot arms to implement assembly tasks is indispensable. Therefore, this study presents an approach that satisfies this requirement, which not only proposes a deep learning-based system to detect the wire profile, but also improves the accuracy of the detected results through a correction method according to the depth values of contiguous areas. The verification of the approach in a robot system that highlights its usefulness and practicality demonstrates the potential of the proposed method to replace people and consequently, reduce labour costs in factory environments.
- URI
- https://www.sciencedirect.com/science/article/pii/S0278612521002089https://repository.hanyang.ac.kr/handle/20.500.11754/169463
- ISSN
- 0278-6125
- DOI
- 10.1016/j.jmsy.2021.10.003
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > MECHANICAL ENGINEERING(기계공학과) > Articles
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