首页|Reports on Robotics Findings from Zhejiang University Provide New Insights (A Di gital Twin of Intelligent Robotic Grasping Based On Single-loop-optimized Differ entiable Architecture Search and Simreal Collaborative Learning)
Reports on Robotics Findings from Zhejiang University Provide New Insights (A Di gital Twin of Intelligent Robotic Grasping Based On Single-loop-optimized Differ entiable Architecture Search and Simreal Collaborative Learning)
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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 originating from Hangzhou, People’s Republic of China, by N ewsRx correspondents, research stated, “The effectiveness of deep learning model s for vision-based intelligent robotic grasping (IRG) tasks typically hinges upo n the deep neural network (DNN) architecture as well as the task-oriented annota ted training samples. Nevertheless, current methods applied for designing DNN ar chitectures depend on human expertise or discrete search by evolution and reinfo rcement learning algorithms, which leads to enormous computational cost.”
HangzhouPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningRoboticsRobotsZhejiang Universi ty
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