首页|Studies from Southeast University Have Provided New Information about Robotics ( Self-supervised Multi-modal Learning for Collaborative Robotic Grasp-throw)
Studies from Southeast University Have Provided New Information about Robotics ( Self-supervised Multi-modal Learning for Collaborative Robotic Grasp-throw)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics are presented i n a new report. According to news originatingfrom Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “Accurate throwingskills can expand the pick-and-place ability of a manipulator, which is significant but ch allenging in thefield of robotics. Most existing robotic throwing methods negle ct the mass of an object and air drag, notto mention the effect of a grasp on t he subsequent throw, resulting in inaccurate throws.”
NanjingPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningRoboticsRobotsSoutheast Universi ty
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