Robotics & Machine Learning Daily News2024,Issue(MAY.8) :93-94.

Researchers from Chinese Academy of Sciences Report Recent Findings in Robotics (A Memory and Attention-based Reinforcement Learning for Musculoskeletal Robots With Prior Knowledge of Muscle Synergies)

Robotics & Machine Learning Daily News2024,Issue(MAY.8) :93-94.

Researchers from Chinese Academy of Sciences Report Recent Findings in Robotics (A Memory and Attention-based Reinforcement Learning for Musculoskeletal Robots With Prior Knowledge of Muscle Synergies)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Robotics have been publi shed. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “PurposeLimited by the types of sensors, the state information available for musculoskeletal robots with high ly redundant, nonlinear muscles is often incomplete, which makes the control fac e a bottleneck problem. The aim of this paper is to design a method to improve t he motion performance of musculoskeletal robots in partially observable scenario s, Funders for this research include National Natural Science Foundation of China ( NSFC), Chinese Academy of Sciences, National Natural Science Foundation of China (NSFC).

Key words

Beijing/People’s Republic of China/Asi a/Algorithms/Emerging Technologies/Machine Learning/Nano-robot/Neuroscience/Reinforcement Learning/Robot/Robotics/Chinese Academy of Sciences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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