首页|Shandong Technology and Business University Reports Findings in Robotics (An imp roved RRT behavioral planning method for robots based on PTM algorithm)
Shandong Technology and Business University Reports Findings in Robotics (An imp roved RRT behavioral planning method for robots based on PTM algorithm)
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 Daily News – New research on Robotics is the subject of a repo rt. According to news reporting out of Shandong, People’s Republic of China, by NewsRx editors, research stated, “For multi-dimensional high-order nonlinear sys tems with unstable path quality in parameter and extension terms, we developed a new fast search random tree strategy. First, we established a high-order Lipsch itz vector field dynamic system to adapt to high-order systems of multi-degree-o f-freedom robots, with the complex obstacle function being one of its key compon ents.”
ShandongPeople’s Republic of ChinaAs iaAlgorithmsEmerging TechnologiesMachine LearningNano-robotRobotics
NETL
NSTL
