首页|Reports Summarize Robotics Study Results from Shandong University (A Refined Rob otic Grasp Detection Network Based On Coarse-to-fine Feature and Residual Attent ion)
Reports Summarize Robotics Study Results from Shandong University (A Refined Rob otic Grasp Detection Network Based On Coarse-to-fine Feature and Residual Attent ion)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingout of Shandong, People’s Republic of China, by NewsRx editors, research stated, “Precise and efficientgrasping dete ction is vital for robotic arms to execute stable grasping tasks in industrial a nd householdapplications. However, existing methods fail to consider refining d ifferent scale features and detectingcritical regions, resulting in coarse gras ping rectangles.”
ShandongPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningRoboticsRobotsShandong Universi ty
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