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RNN for Receding Horizon Control of Redundant Robot Manipulators 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 卷号: 69, 期号: 2, 页码: 1608-1619
作者:  Yan, Jingkun;  Jin, Long;  Yuan, Zhanting;  Liu, Zhiyi
收藏  |  浏览/下载:153/0  |  提交时间:2021/12/23
Manipulators  Optimization  Acceleration  Recurrent neural networks  Mathematical model  Trajectory tracking  Trajectory  Joint limits  receding horizon control (RHC)  recurrent neural network (RNN)  redundant manipulator  trajectory tracking  
An Acceleration-Level Data-Driven Repetitive Motion Planning Scheme for Kinematic Control of Robots With Unknown Structure 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 13
作者:  Xie, Zhengtai;  Jin, Long;  Luo, Xin;  Hu, Bin;  Li, Shuai
收藏  |  浏览/下载:58/0  |  提交时间:2022/08/22
Robots  Manipulators  Service robots  Kinematics  Recurrent neural networks  Planning  Redundancy  Acceleration level  data-driven technology  kinematic control of robots  recurrent neural network (RNN)  repetitive motion planning (RMP)