首页|Data from School of Control Science and Engineering AdvanceKnowledge in Robotic Systems (Deep reinforcement learning basedonline lifting path planning for tow er cranes in unknown dynamic environments)
Data from School of Control Science and Engineering AdvanceKnowledge in Robotic Systems (Deep reinforcement learning basedonline lifting path planning for tow er cranes in unknown dynamic environments)
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 robotic systems is now available. According to news reporting outof Shandong, People’s Republic of Chi na, by NewsRx editors, research stated, “Lifting path planning iscritical for t he safety and efficiency of tower cranes operating in dynamic construction envir onments.”
School of Control Science and Engineerin gShandongPeople’sRepublic of ChinaAsiaEmerging TechnologiesMachine Le arningReinforcement LearningRobotic SystemsRobotics