Robotics & Machine Learning Daily News2024,Issue(Jan.3) :95-96.

Researcher at University of Shanghai for Science and Technology Targets Robotics (A Multi-Agent Reinforcement Learning Method for Omnidirectional Walking of Bipedal Robots)

Robotics & Machine Learning Daily News2024,Issue(Jan.3) :95-96.

Researcher at University of Shanghai for Science and Technology Targets Robotics (A Multi-Agent Reinforcement Learning Method for Omnidirectional Walking of Bipedal Robots)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on robotics. According to news reporting originatingfrom Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Achieving omnidirectionalwalking for bipedal robots is considered one of the most challenging tasks in robotics technology.Reinforcement learning (RL) methods have proved effective in bipedal walking tasks.”

Key words

University of Shanghai for Science and Technology/Shanghai/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Reinforcement Learning/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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