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Interactive-Imitation-Based Distributed Coordination Scheme for Smart Manufacturing 期刊论文
IEEE Transactions on Industrial Informatics, 2021, 卷号: 17, 期号: 5, 页码: 3599-3608
Authors:  Yang, Bo;  Zhang JL(张嘉麟);  Shi HG(石华光)
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Coordinated manufacturing  industrial cyber-physical systems  multiagent imitation learning  
Intelligent decision-making of scheduling for dynamic permutation flowshop via deep reinforcement learning 期刊论文
Sensors (Switzerland), 2021, 卷号: 21, 期号: 3, 页码: 1-20
Authors:  Yang SL(杨圣落);  Xu ZG(徐志刚);  Wang JY(王军义)
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permutation flowshop scheduling problem  deep reinforcement learning  actor-critic  dynamic scheduling  real-time scheduling  new job arrival  tardiness cost  
面向机械臂控制的强化学习方法研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2020
Authors:  胡亚洲
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机器人控制  强化学习  值函数近似  优势函数  自由能原理  
基于自主学习的水空跨域海洋机器人运动控制方法研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2020
Authors:  霍雨佳
Adobe PDF(5651Kb)  |  Favorite  |  View/Download:122/19  |  Submit date:2020/12/18
水下机器人  倾转旋翼机器人  自主学习  高斯过程回归  
基于 Actor-Critic 算法实现机器人柔性负载系统的振动抑制 学位论文
专业学位硕士, 沈阳: 中国科学院沈阳自动化研究所, 2020
Authors:  李璐君
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机器人  Actor-Critic算法  柔性负载  振动抑制  强化学习  
足翼混合驱动两栖仿生机器人浮游步态规划研究 学位论文
硕士, 沈阳: 中国科学院沈阳自动化研究所, 2020
Authors:  崔雨晨
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步态规划  足翼混合驱动两栖仿生机器人  水动力  动力学建模  
Reliable Multi-Kernel Subtask Graph Correlation Tracker 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 8120-8133
Authors:  Fan BJ(范保杰);  Cong Y(丛杨);  Tian JD(田建东);  Tang YD(唐延东)
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Target tracking  Correlation  Kernel  Feature extraction  Robustness  Laplace equations  Layered multi-subtask learning  correction filter tracking  temporal-spatial consistency  object tracking  
AUV智能化现状与发展趋势 期刊论文
机器人, 2020, 卷号: 42, 期号: 2, 页码: 215-231
Authors:  黄琰;  李岩;  俞建成;  李硕;  封锡盛
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自主水下机器人  人工智能  自主感知  智能决策  运动控制  
Reinforcement Learning Tracking Control for Robotic Manipulator With Kernel-Based Dynamic Model 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3570-3578
Authors:  Hu YZ(胡亚洲);  Wang WX(王文学);  Liu H(刘皓);  Liu LQ(刘连庆)
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Manipulator dynamics  Heuristic algorithms  Task analysis  Kernel  Adaptation models  Kernel function  reinforcement learning (RL)  reward function  robotics tracking control  
Learning mobile manipulation through deep reinforcement learning 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 3, 页码: 1-18
Authors:  Wang C(王聪);  Zhang QF(张奇峰);  Tian QY(田启岩);  Li S(李硕);  Wang XH(王晓辉);  Lane, David;  Petillot, Yvan;  Wang, Sen
Adobe PDF(26225Kb)  |  Favorite  |  View/Download:477/131  |  Submit date:2020/03/01
mobile manipulation  deep reinforcement learning  deep learning