首页|Study Results from National University of Defense Technology Broaden Understandi ng of Robotics (C3f: Constant Collaboration and Communication Framework for Grap h-representation Dynamic Multi-robotic Systems)
Study Results from National University of Defense Technology Broaden Understandi ng of Robotics (C3f: Constant Collaboration and Communication Framework for Grap h-representation Dynamic Multi-robotic Systems)
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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 originating fromChangsha, People’s Republic of China, by NewsRx correspondents, research stated, “Deep reinforcementlearning (DRL) m ethods have been widely applied in distributed multi-robotic systems and success fullyrealized autonomous learning in many fields. In these fields, robots need to communicate and collaboratewith other robots in real time, and reach agreed cognition for task assignment, which puts high requirementson efficiency and st ability.”
ChangshaPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningNano-robotRoboticsRobotsNatio nal University of Defense Technology
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