首页|Reports from Sun Yat-sen University Add New Data to Findings in Robotics (Elss-d zn and Elss-ifdhgzn Algorithms Solving Future Quadratic Programming Applied To R obot Manipulator)
Reports from Sun Yat-sen University Add New Data to Findings in Robotics (Elss-d zn and Elss-ifdhgzn Algorithms Solving Future Quadratic Programming Applied To R obot Manipulator)
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
IEEE
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Robotics have been presented. Ac cording to news reporting originating in Guangzhou, People’s Republic of China, by NewsRx journalists, research stated, “It is common knowledge that the future quadratic programming (FQP) problem is a challenging and widely applicable topic in mathematical science and many engineering fields. In this article, we system atically derive a new specific explicit linear left and right six-step (ELSS) ru le with order-7 precision.”
GuangzhouPeople’s Republic of ChinaA siaAlgorithmsEmerging TechnologiesMachine LearningRobotRoboticsSun Y at-sen University