首页|New Findings on Robotics Described by Investigators at Southern University of Sc ience and Technology (SUSTech) (A Deep Reinforcement Learning-based Decentralize d Hierarchical Motion Control Strategy for Multiple Amphibious Spherical Robot . ..)
New Findings on Robotics Described by Investigators at Southern University of Sc ience and Technology (SUSTech) (A Deep Reinforcement Learning-based Decentralize d Hierarchical Motion Control Strategy for Multiple Amphibious Spherical Robot . ..)
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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 fromGuangdong, People’s Republic of China , by NewsRx correspondents, research stated, “The variable operatingconditions and hostile environments faced by underwater robots remain a challenge for motio n controlin unknown environments. In order to improve the capability of the amp hibious spherical robot (ASR)in unknown environments, a decentralized hierarchi cal deep reinforcement learning (DRL) motion controlmethod based on deep determ inistic policy gradient (DDPG) for multiple ASRs system is proposed.”
GuangdongPeople’s Republic of ChinaA siaEmerging TechnologiesMachine LearningReinforcement LearningRobotRoboticsSouthern University of Science and Technology (SUSTech)
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