首页|Researcher at University of Shanghai for Science and Technology Targets Robotics (A Multi-Agent Reinforcement Learning Method for Omnidirectional Walking of Bipedal Robots)
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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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.”
University of Shanghai for Science and TechnologyShanghaiPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotReinforcement LearningRobotRobotics
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