首页|Faculty of Printing Researchers Broaden Understanding of Robotics (A Novel Robot ic Grasp Framework for Accurate Grasping Under Complex Packaging Factory Environ ments)
Faculty of Printing Researchers Broaden Understanding of Robotics (A Novel Robot ic Grasp Framework for Accurate Grasping Under Complex Packaging Factory Environ ments)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ro botics. According to news reporting out of the Faculty of Printing by NewsRx edi tors, research stated, “As grasping behaviors in real packaging scenarios are ap t to be influenced by various disturbances, visual grasping prediction systems h ave suffered from the poor robustness and low detection accuracy. In this study, an intelligent robotic grasp framework (RTnet) underpinned by a linear global a ttention mechanism has been proposed to achieve the highly robust robot grasp pr ediction in real packaging factory scenarios.”
Faculty of PrintingEmerging Technologi esMachine LearningRoboticsRobots
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