首页|Findings from Hohai University in the Area of Robotics Reported (Innovative Multi-dimensional Learning Algorithm and Experiment Design for Human-robot Cooperation)
Findings from Hohai University in the Area of Robotics Reported (Innovative Multi-dimensional Learning Algorithm and Experiment Design for Human-robot Cooperation)
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
Elsevier
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on Robotics are presented in a new report. According to news reporting out of Changzhou, People’s Republic of China, by NewsRx editors, research stated, “This paper proposed a learning algorithm for human-robot skill transfer based on dynamic movement primitive. Through the establishment of Transmission Control Protocol communication, the position trajectory and force charac- teristic of the human demonstrator while demonstrating the robot were recorded as the training data of the dynamic movement primitive model.” Our news journalists obtained a quote from the research from Hohai University, “The demonstrated skill/motion reproduction and generalization were successfully achieved through adjusting the parameters of the dynamic movement primitive model. The impedance control system investigated in this paper improved the compliance of the robot trajectory reproduction and skill generalization, and improved the robustness of robot control system in different environments. In addition, for the problem of inverse solution of redundant robots, this paper improved the dimension of constraint equations in the inverse solution of robots by training multiple dynamic movement primitive models, which guaranteed the constraints of inverse solutions of redundant robots.” According to the news editors, the research concluded: “The proposed algorithm had been validated on a simulated robot platform using MATLAB and a ROKAE xMate robot platform, respectively.” This research has been peer-reviewed.
ChangzhouPeople’s Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningNano-robotRobotRoboticsHohai University
NETL
NSTL
Elsevier
