首页|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)
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)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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).
BeijingPeople’s Republic of ChinaAsi aAlgorithmsEmerging TechnologiesMachine LearningNano-robotNeuroscienceReinforcement LearningRobotRoboticsChinese Academy of Sciences
NETL
NSTL
