首页|Study Results from Northeastern University Update Understanding of Robotics (Object Recognition and Grasping for Collaborative Robots Based on Vision)
Study Results from Northeastern University Update Understanding of Robotics (Object Recognition and Grasping for Collaborative Robots Based on Vision)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on robotics. According to news reporting fromShenyang, People’s Republic of China, by NewsRx journalists, research stated, “This study introduces aparallel YOLO-GG deep learning network for collaborative robot target recognition and grasping to enhancethe efficiency and precision of visual classification and grasping for collaborative robots. First, the paperoutlines the target classification and detection task, the grasping system of the robotic arm, and the datasetpreprocessing method.”
Northeastern UniversityShenyangPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRobotRobotics
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