首页|Researchers from Shenyang University of Technology Describe Findings in Robotics (A Random Path Sampling-based Method for Motion Planning In Many Dimensions)
Researchers from Shenyang University of Technology Describe Findings in Robotics (A Random Path Sampling-based Method for Motion Planning In Many Dimensions)
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NSTL
IEEE
Data detailed on Robotics have been presented. According to news reporting from Liaoning, People’s Republic of China, by NewsRx journalists, research stated, “In this article, we present Gaussian Random Paths Motion Planner (GRPMP), a method for solving robot motion planning problems.” Funders for this research include Fundamental Research Funds of Liaoning Education Department, Research Capacity Development Foundation for Young Teachers of Shenyang University of Technology, National Natural Science Foundation of China (NSFC).
LiaoningPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsShenyang University of Technology
NETL
NSTL
IEEE
