首页|Researchers from University of the Chinese Academy of Sciences Report on Finding s in Robotics (Learning Sliding Policy of Flat Multi-target Objects In Clutter S cenes)
Researchers from University of the Chinese Academy of Sciences Report on Finding s in Robotics (Learning Sliding Policy of Flat Multi-target Objects In Clutter S cenes)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ro botics. According to news reporting fromBeijing, People’s Republic of China, by NewsRx journalists, research stated, “In clutter scenes, one or several targets need to be obtained, which is hard for robot manipulation task. Especially, whe n thetargets are flat objects like book, plates, due to limitation of common ro bot end-effectors, it will be morechallenging.”
BeijingPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningRobotRoboticsUniversity of the C hinese Academy of Sciences
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