Robotics & Machine Learning Daily News2024,Issue(Mar.18) :72-73.DOI:10.1016/j.eswa.2023.121700

Researchers from Chinese Academy of Sciences Detail Findings in Robotics (Weldne t: a Deep Learning Based Method for Weld Seam Type Identification and Initial)

Robotics & Machine Learning Daily News2024,Issue(Mar.18) :72-73.DOI:10.1016/j.eswa.2023.121700

Researchers from Chinese Academy of Sciences Detail Findings in Robotics (Weldne t: a Deep Learning Based Method for Weld Seam Type Identification and Initial)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been pr esented. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “To address the limitations associat ed 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.”

Key words

Beijing/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Chinese Academ y of Sciences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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