Assembly sequence planning based on deep reinforcement learning

被引：0
|
作者：
Zhao, Ming-Hui [1 ]
Zhang, Xue-Bo [1 ]
Guo, Xian [1 ]
Ou, Yong-Sheng [2 ]
机构：
[1] Institute of Robotics and Automatic Information System, College of Artificial Intelligence, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin,300350, China
[2] Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen,518055, China
来源：
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2021年 / 38卷 / 12期
关键词：
D O I：
10.7641/CTA.2021.00516
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1901 / 1910
相关论文
共 50 条
  • [21] Robot autonomous grasping and assembly skill learning based on deep reinforcement learning
    Chen, Chengjun
    Zhang, Hao
    Pan, Yong
    Li, Dongnian
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024, 130 (11-12): : 5233 - 5249
  • [22] Robot autonomous grasping and assembly skill learning based on deep reinforcement learning
    Chengjun Chen
    Hao Zhang
    Yong Pan
    Dongnian Li
    [J]. The International Journal of Advanced Manufacturing Technology, 2024, 130 : 5233 - 5249
  • [23] Deep Reinforcement Learning for Sequence-to-Sequence Models
    Keneshloo, Yaser
    Shi, Tian
    Ramakrishnan, Naren
    Reddy, Chandan K.
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 31 (07) : 2469 - 2489
  • [24] Deep Reinforcement Learning-Based Joint Sequence Scheduling and Trajectory Planning in Wireless Rechargeable Sensor Networks
    Jiang, Chengpeng
    Chen, Wencong
    Wang, Ziyang
    Xiao, Wendong
    [J]. IEEE SENSORS JOURNAL, 2024, 24 (08) : 13699 - 13711
  • [25] Adaptive disassembly sequence planning for VR maintenance training via deep reinforcement learning
    Mao, Haoyang
    Liu, Zhenyu
    Qiu, Chan
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 124 (09): : 3039 - 3048
  • [26] Adaptive disassembly sequence planning for VR maintenance training via deep reinforcement learning
    Haoyang Mao
    Zhenyu Liu
    Chan Qiu
    [J]. The International Journal of Advanced Manufacturing Technology, 2023, 124 : 3039 - 3048
  • [27] Reinforcement learning for disassembly sequence planning optimization
    Allagui, Amal
    Belhadj, Imen
    Plateaux, Regis
    Hammadi, Moncef
    Penas, Olivia
    Aifaoui, Nizar
    [J]. COMPUTERS IN INDUSTRY, 2023, 151
  • [28] Multi-objective path planning based on deep reinforcement learning
    Xu, Jian
    Huang, Fei
    Cui, Yunfei
    Du, Xue
    [J]. 2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 3273 - 3279
  • [29] Substation Operation Sequence Inference Model Based on Deep Reinforcement Learning
    Chen, Tie
    Li, Hongxin
    Cao, Ying
    Zhang, Zhifan
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (13):
  • [30] Pairwise heuristic sequence alignment algorithm based on deep reinforcement learning
    Song, Yong-Joon
    Ji, Dong Jin
    Seo, Hyein
    Han, Gyu-Bum
    Cho, Dong-Ho
    [J]. IEEE Open Journal of Engineering in Medicine and Biology, 2021, 2 : 36 - 43
12345