中国科学院重庆绿色智能技术研究院机构知识库

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限定条件	出处：IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序作者升序作者降序题名升序题名降序WOS被引频次升序WOS被引频次降序发表日期升序发表日期降序提交时间升序提交时间降序
	Data-Driven Remote Center of Cyclic Motion Control for Redundant Robots With Rod-Shaped End-Effector 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 页码: 9 作者:  Liu, Mei;  Liu, Kun;  Zhu, Puchen;  Zhang, Guoqian;  Ma, Xin;  Shang, Mingsheng 收藏  |  浏览/下载：5/0  |  提交时间：2024/04/07 Robots  End effectors  Robot kinematics  Kinematics  Recurrent neural networks  Jacobian matrices  Task analysis  Data driven  end-effector  recurrent neural network (RNN)  redundant robot  remote center of motion (RCM)
	Metaheuristic-Based RNN for Manipulability Optimization of Redundant Manipulators 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 页码: 10 作者:  Tan, Jiawang;  Shang, Mingsheng;  Jin, Long 收藏  |  浏览/下载：67/0  |  提交时间：2024/05/06 Manipulators  Optimization  Collision avoidance  Jacobian matrices  Kinematics  Task analysis  Linear programming  Manipulability optimization  metaheuristic optimization  nonconvex  obstacle avoidance  recurrent neural network
	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
	Obstacle Avoidance and Tracking Control of Redundant Robotic Manipulator: An RNN-Based Metaheuristic Approach 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 7, 页码: 4670-4680 作者:  Khan, Ameer Hamza;  Li, Shuai;  Luo, Xin 收藏  |  浏览/下载：127/0  |  提交时间：2020/08/24 Manipulators  Collision avoidance  Trajectory  Optimization  Task analysis  Kinematics  Metaheuristic optimization  obstacle avoidance  recurrent neural network (RNN)  tracking control
	RNN for Solving Perturbed Time-Varying Underdetermined Linear System With Double Bound Limits on Residual Errors and State Variables 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 卷号: 15, 期号: 11, 页码: 5931-5942 作者:  Lu, Huiyan;  Jin, Long;  Luo, Xin;  Liao, Bolin;  Guo, Dongsheng;  Xiao, Lin 收藏  |  浏览/下载：100/0  |  提交时间：2020/08/24 Mathematical model  Time-varying systems  Linear systems  Informatics  Robots  Recurrent neural networks  Double bound limits  recurrent neural network  simulation results  theoretical analyses  time-varying underdetermined linear system