Robotics & Machine Learning Daily News2024,Issue(MAY.10) :5-5.

Reports from Chinese Academy of Sciences Describe Recent Advances in Robotics (Q uadrupedal Locomotion In an Energy-efficient Way Based On Reinforcement Learning )

Robotics & Machine Learning Daily News2024,Issue(MAY.10) :5-5.

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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Abstract

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.”

Key words

Beijing/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Reinforcement Learning/Robot/Robot ics/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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