Deep reinforcement learning based proactive dynamic obstacle avoidance for safe human-robot collaboration

被引:0
|
作者
Xia, Wanqing [1 ]
Lu, Yuqian [1 ]
Xu, Weiliang [1 ]
Xu, Xun [1 ]
机构
[1] The University of Auckland, 20 Symond Street, Auckland,1010, New Zealand
关键词
D O I
10.1016/j.mfglet.2024.09.151
中图分类号
学科分类号
摘要
Deep reinforcement learning
引用
收藏
页码:1246 / 1256
相关论文
共 50 条
  • [31] Shared Impedance Control Based on Reinforcement Learning in a Human-Robot Collaboration Task
    Wu, Min
    He, Yanhao
    Liu, Steven
    ADVANCES IN SERVICE AND INDUSTRIAL ROBOTICS, 2020, 980 : 95 - 103
  • [32] A reinforcement learning method for human-robot collaboration in assembly tasks
    Zhang, Rong
    Lv, Qibing
    Li, Jie
    Bao, Jinsong
    Liu, Tianyuan
    Liu, Shimin
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2022, 73
  • [33] Towards Safe Human-Robot Collaboration
    Finkemeyer, Bernd
    2017 22ND INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN AUTOMATION AND ROBOTICS (MMAR), 2017, : 862 - 867
  • [34] Task-level decision-making for dynamic and stochastic human-robot collaboration based on dual agents deep reinforcement learning
    Liu, Zhihao
    Liu, Quan
    Wang, Lihui
    Xu, Wenjun
    Zhou, Zude
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2021, 115 (11-12): : 3533 - 3552
  • [35] Safe Physical Human-Robot Collaboration
    Flacco, Fabrizio
    De Luca, Alessandro
    2013 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2013, : 2072 - 2072
  • [36] Task-level decision-making for dynamic and stochastic human-robot collaboration based on dual agents deep reinforcement learning
    Zhihao Liu
    Quan Liu
    Lihui Wang
    Wenjun Xu
    Zude Zhou
    The International Journal of Advanced Manufacturing Technology, 2021, 115 : 3533 - 3552
  • [37] An Approach to Integrate Human Motion Prediction into Local Obstacle Avoidance in Close Human-Robot Collaboration
    Khoi Hoang Dinh
    Oguz, Ozgur
    Huber, Gerold
    Gabler, Volker
    Wollherr, Dirk
    2015 IEEE INTERNATIONAL WORKSHOP ON ADVANCED ROBOTICS AND ITS SOCIAL IMPACTS (ARSO), 2015,
  • [38] A Path Planning Method Based on Deep Reinforcement Learning with Improved Prioritized Experience Replay for Human-Robot Collaboration
    Sun, Deyu
    Wen, Jingqian
    Wang, Jingfei
    Yang, Xiaonan
    Hu, Yaoguang
    HUMAN-COMPUTER INTERACTION, PT II, HCI 2024, 2024, 14685 : 196 - 206
  • [39] AUV Obstacle Avoidance Planning Based on Deep Reinforcement Learning
    Yuan, Jianya
    Wang, Hongjian
    Zhang, Honghan
    Lin, Changjian
    Yu, Dan
    Li, Chengfeng
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2021, 9 (11)
  • [40] Hybrid Trajectory Replanning-Based Dynamic Obstacle Avoidance for Physical Human-Robot Interaction
    Shiqi Li
    Ke Han
    Xiao Li
    Shuai Zhang
    Youjun Xiong
    Zheng Xie
    Journal of Intelligent & Robotic Systems, 2021, 103