首页|New Findings from University of the Chinese Academy of Sciences in the Area of R obotics Described (Deepkp: a Robust and Accurate Framework for Weld Seam Keypoin t Extraction In Welding Robots)
New Findings from University of the Chinese Academy of Sciences in the Area of R obotics Described (Deepkp: a Robust and Accurate Framework for Weld Seam Keypoin t Extraction In Welding Robots)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Research findings on Robotics are disc ussed in a new report. According to news reporting originating in Beijing, Peopl e’s Republic of China, by NewsRx journalists, research stated, “To meet the dema nd for seam tracking of welding robots, a deep learning-based framework called D eepKP is proposed in this article, which aims to precisely extract weld seam key points (WSKPs) under multiple arc light interference. DeepKP comprises a keypoin t extraction model named WeldExt and a denoising model named WeldDenoise.”
BeijingPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotRoboticsUniversity of the Chinese Academy of Sciences
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