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Data-Driven Motion-Force Control Scheme for Redundant Manipulators: A Kinematic Perspective 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18, 期号: 8, 页码: 5338-5347
作者:  Fan, Jialiang;  Jin, Long;  Xie, Zhengtai;  Li, Shuai;  Zheng, Yu
收藏  |  浏览/下载:61/0  |  提交时间:2022/08/22
Manipulators  Kinematics  End effectors  Force  Jacobian matrices  Robots  Force control  Data driven  kinematic control  motion-force control  recurrent neural network (RNN)  redundant manipulators  
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:54/0  |  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)  
Modified Newton Integration Algorithm With Noise Tolerance Applied to Robotics 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 11
作者:  Fu, Dongyang;  Huang, Haoen;  Wei, Lin;  Xiao, Xiuchun;  Jin, Long;  Liao, Shan;  Fan, Jialiang;  Xie, Zhengtai
收藏  |  浏览/下载:39/0  |  提交时间:2022/08/22
Mathematical model  Heuristic algorithms  Oceans  Noise measurement  Iterative algorithms  Education  Technological innovation  Dynamic system of linear equations  modified Newton integration (MNI) algorithm  noise tolerance  steady-state error