首页|New Findings from Shanghai Jiao Tong University in the Area of Robotics Reported (Customizable 6 Degrees of Freedom Grasping Dataset and an Interactive Training Method for Graph Convolutional Network)
New Findings from Shanghai Jiao Tong University in the Area of Robotics Reported (Customizable 6 Degrees of Freedom Grasping Dataset and an Interactive Training Method for Graph Convolutional Network)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics have been pr esented. According to news reporting originatingfrom Shanghai, People’s Republi c of China, by NewsRx correspondents, research stated, “The field ofrobotic gra sping has seen significant progress with the development of deep learning and th e creationof large-scale datasets like the Cornell Grasping Dataset (Jiang et a l., 2011) and DexNet (Mahler et al.,2016). However, challenges persist due to t he reliance on manually annotated datasets, limited by datascarcity, high costs , biases, and a lack of diversity in gripper types and three-dimensional informa tion,hampering their effectiveness in real-world applications.”
ShanghaiPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningRoboticsRobotsShanghai Jiao Ton g University
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