首页|Data on Robotics Detailed by Researchers at Soochow University (Metric Learning- based Few-shot Adversarial Domain Adaptation: a Cross-machine Diagnosis Method f or Ball Screws of Industrial Robots)
Data on Robotics Detailed by Researchers at Soochow University (Metric Learning- based Few-shot Adversarial Domain Adaptation: a Cross-machine Diagnosis Method f or Ball Screws of Industrial Robots)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting from Suzhou, People’s Republic of China, by NewsR x journalists, research stated, “Due to the varying working conditions of select ive compliance assembly robot arm (SCARA) robots, there are significant differen ces in data distribution among different machines. As a result, it is challengin g to apply unsupervised methods for cross-machine fault diagnosis.” Financial support for this research came from National Innovation and Developmen t Project of Industrial Internet.
SuzhouPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRobotRoboticsSoochow University
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