首页|Reports from Chinese Academy of Sciences Describe Recent Advances in Robotics (Q uadrupedal Locomotion In an Energy-efficient Way Based On Reinforcement Learning )
Reports from Chinese Academy of Sciences Describe Recent Advances in Robotics (Q uadrupedal Locomotion In an Energy-efficient Way Based On Reinforcement Learning )
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - A new study on Robotics is now availab le. According to news reporting originating in Beijing, People’s Republic of Chi na, by NewsRx journalists, research stated, “Achieving energy-efficient motion i s important for the application of quadruped robots in a wide range. In this pap er, we propose a hierarchical control framework that combines reinforcement lear ning and virtual model control to achieve energy-efficient motion with a planned gait.”
BeijingPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningReinforcement LearningRobotRobot icsChinese Academy of Sciences
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