首页|Researchers from Chinese Academy of Sciences Detail Findings in Robotics (Weldne t: a Deep Learning Based Method for Weld Seam Type Identification and Initial)
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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NETL
NSTL
Elsevier
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.”
BeijingPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotRoboticsChinese Academ y of Sciences
NETL
NSTL
Elsevier
