首页|Recent Findings from Shandong University Provides New Insights into Robotics (Sa fe and Socially Compliant Robot Navigation In Crowds With Fast-moving Pedestrian s Via Deep Reinforcement Learning)
Recent Findings from Shandong University Provides New Insights into Robotics (Sa fe and Socially Compliant Robot Navigation In Crowds With Fast-moving Pedestrian s Via Deep Reinforcement Learning)
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 – Fresh data on Robotics are presented i n a new report. According to news originatingfrom Shandong, People’s Republic o f China, by NewsRx correspondents, research stated, “Safe and sociallycompliant navigation in a crowded environment is essential for social robots. Numerous re search effortshave shown the advantages of deep reinforcement learning techniqu es in training efficient policies, whilemost of them ignore fast-moving pedestr ians in the crowd.”
ShandongPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningNano-robotReinforcement LearningRobotRoboticsShandong University
NETL
NSTL
