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 . ..)

Robotics & Machine Learning Daily News2024，Issue(Apr.17) ：94-95.

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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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Abstract

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.”

Key words

Guangdong/People’s Republic of China/A sia/Emerging Technologies/Machine Learning/Reinforcement Learning/Robot/Robotics/Southern University of Science and Technology (SUSTech)

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出版年

2024

Robotics & Machine Learning Daily News

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