首页|Studies from School of Automation Provide New Data on Robotics (Semi-solid Metal Slag Thickness Distribution Identification Based On Statistical Temporal Fusion of Multisource Image for Robotic Operation)
Studies from School of Automation Provide New Data on Robotics (Semi-solid Metal Slag Thickness Distribution Identification Based On Statistical Temporal Fusion of Multisource Image for Robotic Operation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Robotics is now availab le. According to news reporting originatingin Changsha, People’s Republic of Ch ina, by NewsRx journalists, research stated, “In the past decades,the removal o f the semi-solid metal oxide slag has raised a significant concern in industrial manufacturingfield. The presence of oxide slag may lead to a decrease in the q uality of metal products, affecting theirmechanical properties and visual appea rance, which causes serious quality problems in manufacturingindustry.”
ChangshaPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningRoboticsRobotsSchool of Automat ion
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