Knowledge Commons of Institute of Automation,CAS
WeldNet: A deep learning based method for weld seam type identification and initial point guidance | |
Yunkai Ma1; Junfeng Fan1; Zhen Zhou1,2; Sihan Zhao1,2; Fengshui Jing1,2; Min Tan1,2 | |
发表期刊 | Expert Systems With Applications |
ISSN | 0957-4174 |
2023 | |
卷号 | 238期号:0页码:121700 |
文章类型 | Research paper |
摘要 | To address the limitations associated with the low intelligence of welding robots, a weld seam type identification and initial point guidance method based on deep neural network named WeldNet was proposed. By incorporating channel shuffling and an attention module, the size of the WeldNet model is reduced while preserving high detection accuracy. With the help of the proposed Center-Box annotation method, the optimized WeldNet network can not only automatically identify the type of welding workpieces at a frequency of 66 Hz, but also extract the initial point of the weld seam with an error of less than 1.63 pixels. Based on the principle of "monocular vision dual position shooting", automatic guidance of the initial point of the weld seam is achieved, which greatly improves the intelligence level of welding robots. The experimental results show that the method proposed can accurately identify various types of weld joints such as butt joints, lap joints, and fillet joints with a recognition rate of 99.6%, and the method can also guide the welding torch to align with the initial point of the weld seam with an error of just 0.85 mm. |
七大方向——子方向分类 | 机器人感知与决策 |
国重实验室规划方向分类 | 实体人工智能系统感认知 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/52457 |
专题 | 多模态人工智能系统全国重点实验室_智能机器人系统研究 |
通讯作者 | Junfeng Fan; Fengshui Jing |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.School of Artificial Intelligence, University of Chinese Academy of Sciences |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Yunkai Ma,Junfeng Fan,Zhen Zhou,et al. WeldNet: A deep learning based method for weld seam type identification and initial point guidance[J]. Expert Systems With Applications,2023,238(0):121700. |
APA | Yunkai Ma,Junfeng Fan,Zhen Zhou,Sihan Zhao,Fengshui Jing,&Min Tan.(2023).WeldNet: A deep learning based method for weld seam type identification and initial point guidance.Expert Systems With Applications,238(0),121700. |
MLA | Yunkai Ma,et al."WeldNet: A deep learning based method for weld seam type identification and initial point guidance".Expert Systems With Applications 238.0(2023):121700. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
WeldNet.pdf(7058KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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