首页|Studies from Chinese Academy of Sciences Yield New Data on Robotics (Integrating Reinforcement Learning and Learning From Demonstrations To Learn Nonprehensile Manipulation)
Studies from Chinese Academy of Sciences Yield New Data on Robotics (Integrating Reinforcement Learning and Learning From Demonstrations To Learn Nonprehensile Manipulation)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics are disc ussed in a new report. According to newsreporting originating in Shenzhen, Peop le’s Republic of China, by NewsRx journalists, research stated,“Motor skills ar e essential for robots to accomplish complicated and dexterous manipulation task s,which are difficult to be mastered through traditional controller designs. Cu rrently, robots learning fromdemonstrations enable them to learn control polici es automatically from human motor demonstrations.”Financial supporters for this research include National Key Research & Development Program of China,National Natural Science Foundation of China (NSFC ), Guangdong Basic and Applied Basic ResearchFoundation, Shenzhen Fundamental R esearch Program.
ShenzhenPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotReinforcement LearningRobotRoboticsChinese Academy of Sciences
NETL
NSTL
