Development of a Fleet Management System for Multiple Robots’ Task Allocation Using Deep Reinforcement Learning

被引：0
|
作者：
Dai, Yanyan [1 ]
Kim, Deokgyu [1 ]
Lee, Kidong [1 ]
机构：
[1] Robotics Department, Yeungnam University, Gyeongsan,38541, Korea, Republic of
来源：
Processes | 2024年 / 12卷 / 12期
关键词：
Compendex;
D O I：
10.3390/pr12122921
中图分类号：
学科分类号：
摘要：
Deep reinforcement learning
引用
收藏
相关论文
共 50 条
  • [1] Dynamic Task Allocation for Robotic Edge System Resilience Using Deep Reinforcement Learning
    Afrin, Mahbuba
    Jin, Jiong
    Rahman, Ashfaqur
    Li, Shi
    Tian, Yu-Chu
    Li, Yan
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 54 (03): : 1438 - 1450
  • [2] Dynamic Fleet Management With Rewriting Deep Reinforcement Learning
    Zhang, Wenqi
    Wang, Qiang
    Li, Jingjing
    Xu, Chen
    IEEE ACCESS, 2020, 8 (08): : 143333 - 143341
  • [3] TASK SELECTION BY AUTONOMOUS MOBILE ROBOTS IN A WAREHOUSE USING DEEP REINFORCEMENT LEARNING
    Li, Maojia P.
    Sankaran, Prashant
    Kuhl, Michael E.
    Ptucha, Raymond
    Ganguly, Amlan
    Kwasinski, Andres
    2019 WINTER SIMULATION CONFERENCE (WSC), 2019, : 680 - 689
  • [4] Task Allocation for Mobile Crowdsensing with Deep Reinforcement Learning
    Tao, Xi
    Song, Wei
    2020 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2020,
  • [5] Task Allocation of Multiple Unmanned Aerial Vehicles Based on Deep Transfer Reinforcement Learning
    Yin, Yongfeng
    Guo, Yang
    Su, Qingran
    Wang, Zhetao
    DRONES, 2022, 6 (08)
  • [6] Development of Push-Recovery control system for humanoid robots using deep reinforcement learning
    Aslan, Emrah
    Arserim, Muhammet Ali
    Ucar, Aysegul
    AIN SHAMS ENGINEERING JOURNAL, 2023, 14 (10)
  • [7] Fleet Optimization of Smart Electric Motorcycle System Using Deep Reinforcement Learning
    Anchuen, Patikorn
    Uthansakul, Peerapong
    Uthansakul, Monthippa
    Poochaya, Settawit
    CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 71 (01): : 1925 - 1943
  • [8] Task Allocation in Human-Machine Manufacturing Systems Using Deep Reinforcement Learning
    Joo, Taejong
    Jun, Hyunyoung
    Shin, Dongmin
    SUSTAINABILITY, 2022, 14 (04)
  • [9] Robots Learn Visual Pouring Task Using Deep Reinforcement Learning with Minimal Human Effort
    Moradi, Homayoun
    Masouleh, Mehdi Tale
    Moshiri, Behzad
    2021 9TH RSI INTERNATIONAL CONFERENCE ON ROBOTICS AND MECHATRONICS (ICROM), 2021, : 504 - 510
  • [10] Motion Coordination of Multiple Robots Based on Deep Reinforcement Learning
    Hao, Xiuzhao
    Wu, Zhihao
    Zhou, Haiguang
    Bai, Xiangpeng
    Lin, Youfang
    Han, Sheng
    2019 IEEE 31ST INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2019), 2019, : 955 - 962
12345