首页|Research from National Research Council (CNR) in the Area of Robotics Published (Evaluating Task Optimization and Reinforcement Learning Models in Robotic Task Parameterization)
Research from National Research Council (CNR) in the Area of Robotics Published (Evaluating Task Optimization and Reinforcement Learning Models in Robotic Task Parameterization)
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 – A new study on robotics is now availab le. According to news reporting from Milan,Italy, by NewsRx journalists, resear ch stated, “The rapid evolution of industrial robot hardware has createda techn ological gap with software, limiting its adoption. The software solutions propos ed in recent yearshave yet to meet the industrial sector’s requirements, as the y focus more on the definition of task structurethan the definition and tuning of its execution parameters.”
National Research Council (CNR)MilanItalyEuropeEmerging TechnologiesMachine LearningReinforcement LearningRoboticsRobotsSoftware
NETL
NSTL
