首页|Reports on Robotics Findings from Chinese Academy of Sciences Provide New Insigh ts (Memory, Attention, and Muscle Synergies Based Reinforcement and Transfer Lea rning for Musculoskeletal Robots Under Imperfect Observation)
Reports on Robotics Findings from Chinese Academy of Sciences Provide New Insigh ts (Memory, Attention, and Muscle Synergies Based Reinforcement and Transfer Lea rning for Musculoskeletal Robots Under Imperfect Observation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been pr esented. According to news reporting originating in Beijing, People’s Republic o f China, by NewsRx journalists, research stated, “Compared to traditional robots employing joint-link structures, biologically inspired musculoskeletal robots offer superior compliance, dexterity, and robustness. However, applying reinforce ment learning methods to such robots in real-world scenarios is challenged by im perfect observation of feedback states, including partial observation, noise int erference, and time delay.”
BeijingPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotReinforcement LearningRoboticsChinese Academy of Sciences
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