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RNN for Perturbed Manipulability Optimization of Manipulators Based on a Distributed Scheme: A Game-Theoretic Perspective 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5116-5126
作者:  Zhang, Jiazheng;  Jin, Long;  Cheng, Long
收藏  |  浏览/下载：274/0  |  提交时间：2021/03/02
Optimization  Neural networks  Task analysis  Nash equilibrium  Manipulator dynamics  Distributed control  game theory  manipulability optimization  neural network  redundancy resolution  
Grasping Marine Products With Hybrid-Driven Underwater Vehicle-Manipulator System 期刊论文
IEEE Transactions on Automation Science and Engineering, 2020, 卷号: 17, 期号: 无, 页码: 无
作者:  Cai, Mingxue;  Wang, Yu;  Wang, Shuo;  Wang, Rui;  Ren, Yong;  Tan, Min
Adobe PDF(5519Kb)  |  收藏  |  浏览/下载：352/114  |  提交时间：2020/05/07
Hybrid-driven Underwater Vehicle-manipulator System (Hd-uvms)  Robot Control System  Underwater Manipulation