An Efficient and Robust Complex Weld Seam Feature Point Extraction Method for Seam Tracking and Posture Adjustment-Reference-Cited by-同舟云学术

An Efficient and Robust Complex Weld Seam Feature Point Extraction Method for Seam Tracking and Posture Adjustment

Published:2023-11 Issue:11 Volume:19 Page:10704-10715
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Ma Yunkai¹^ORCID,Fan Junfeng²^ORCID,Yang Huizhen³^ORCID,Wang Hongliang⁴^ORCID,Xing Shiyu¹^ORCID,Jing Fengshui¹^ORCID,Tan Min¹^ORCID

Affiliation:

1. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China

2. Institute of Automation, Chinese Academy of Sciences, Beijing, China

3. School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China

4. Yaskawa Shougang Robot Co., Ltd., Shanghai, China

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10255543/10034839.pdf?arnumber=10034839

Reference39 articles.

1. A Novel Convolutional Neural Network Based on Time–Frequency Spectrogram of Arc Sound and Its Application on GTAW Penetration Classification

2. A novel system for off-line 3D seam extraction and path planning based on point cloud segmentation for arc welding robot

3. Advances in weld seam tracking techniques for robotic welding: A review

4. Effects of welding current and torch position parameters on bead geometry in cold metal transfer welding

5. Automated seam tracking system based on passive monocular vision for automated linear robotic welding process;weis;Proc IEEE 15th Int Conf Ind Informat,0

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