首页|Findings from Northwestern Polytechnic University Reveals New Findings on Roboti cs (Approximate Optimal and Scalable Control for Collision-free Formation of Unc ertain Nonholonomic Robots)
Findings from Northwestern Polytechnic University Reveals New Findings on Roboti cs (Approximate Optimal and Scalable Control for Collision-free Formation of Unc ertain Nonholonomic Robots)
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 Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting originating from Shaanxi, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “This paper studies the formation tracking problem for nonholonomic multirobot systems under model uncertainties. A new local variable is designed to transform the collisio n-free formation control objective into an optimization problem through integrat ing several filtered signals into tracking errors.” Financial support for this research came from Natural Science Foundation of Shaa nxi Province. Our news editors obtained a quote from the research from Northwestern Polytechni c University, “The optimal control policies for nominal kinematic model are lear ned by approximate dynamic programming (ADP) technique using a simplified critic -only neural network (NN) based algorithm, which scales well since the computati onal complexity is independent with the number of robots and obstacles. Then, to handle the effects from robots’ uncertainties, the ADP control policies are red esigned by adding a two time-scale based compensator. It is shown that under pro per conditions, the NN weights’ estimation errors are uniformly ultimately bound ed, while the robust formation tracking and collision avoidance can be achieved. ”
ShaanxiPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotRoboticsNorthwestern P olytechnic University
NETL
NSTL
