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Distributed Competition of Multi-Robot Coordination Under Variable and Switching Topologies 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 页码: 12
作者:  Jin, Long;  Qi, Yimeng;  Luo, Xin;  Li, Shuai;  Shang, Mingsheng
收藏  |  浏览/下载:58/0  |  提交时间:2022/08/22
Robot kinematics  Robots  Topology  Multi-robot systems  Heuristic algorithms  Task analysis  Collaboration  Multi-robot coordination  winner-take-all  gradient neural network  distributed control  
Perturbed Manipulability Optimization in a Distributed Network of Redundant Robots 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 8, 页码: 7209-7220
作者:  Jin, Long;  Zhang, Jiazheng;  Luo, Xin;  Liu, Mei;  Li, Shuai;  Xiao, Lin;  Yang, Zihao
收藏  |  浏览/下载:167/0  |  提交时间:2021/08/20
Manipulators  Optimization  Task analysis  Kinematics  Recurrent neural networks  Distributed control  generalized recurrent neural network (GRNN)  manipulability optimization (MO)  redundancy resolution  kinematic control  
Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:  Qi, Yimeng;  Jin, Long;  Luo, Xin;  Shi, Yang;  Liu, Mei
收藏  |  浏览/下载:44/0  |  提交时间:2022/08/22
Task analysis  Robustness  Biological neural networks  Resource management  Dynamic scheduling  Convergence  Recurrent neural networks  Consensus filter  k-winner-take-all (k-WTA)  multiagent coordination  theoretical analysis  
A Data-Driven Cyclic-Motion Generation Scheme for Kinematic Control of Redundant Manipulators 期刊论文
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2021, 卷号: 29, 期号: 1, 页码: 53-63
作者:  Xie, Zhengtai;  Jin, Long;  Luo, Xin;  Li, Shuai;  Xiao, Xiuchun
收藏  |  浏览/下载:160/0  |  提交时间:2021/03/01
Manipulator dynamics  Kinematics  Task analysis  Jacobian matrices  Neural networks  Redundancy  Cyclic-motion generation (CMG)  data driven  dynamic neural network (DNN)  learning and control  redundant manipulator  
Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 卷号: 13, 期号: 6, 页码: 3098-3107
作者:  Luo, Xin;  Sun, Jianpei;  Wang, Zidong;  Li, Shuai;  Shang, Mingsheng
Adobe PDF(803Kb)  |  收藏  |  浏览/下载:426/0  |  提交时间:2018/03/05
Big data application  high-dimensional, and sparse (SHiDS) matrix  nonnegative latent factor (NLF) model  symmetry  undirected HiDS network