Mixed-Initiative Multi-UAV Mission Planning by Merging Human and Machine Cognitive Skills

被引:0
作者
Strenzke, Ruben [1 ]
Schulte, Axel [1 ]
机构
[1] UBM, Dept Aerosp Engn, Inst Flight Syst LRT 13, D-85577 Neubiberg, Germany
来源
ENGINEERING PSYCHOLOGY AND COGNITIVE ERGONOMICS | 2011年 / 6781卷
关键词
multi-UAV; mixed-initiative; mission planning; assistant system; manned-unmanned teaming; human-machine interaction; cognitive automation; cooperative automation; artificial intelligence; human-automation integration;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Universitat der Bundeswehr Munchen is conducting research in the field of Manned-Unmanned Teaming (MUM-T). In the MUM-T scenario there is a human multi-UAV (Uninhabited Aerial Vehicle) operator who is responsible for the online air mission planning and re-planning. This operator shall be supported in his work by an assisting automation in order to maximize system performance. We therefore examine multiple scientific approaches to human-automation integration and present our established Cognitive and Cooperative Automation approach as well as a novel Cognitive Skill Merging approach. The latter is based upon bringing together human and machine cognitive skills in order to cooperatively reason about and work upon the common overall mission planning task without decomposing it in advance. The combination of these approaches results in the proposal of applying mixed-initiative planning to address the above-mentioned problem. The concept of the MUM-T Mission Planner is presented and future experiments are outlined.
引用
收藏
页码:608 / 617
页数:10
相关论文
共 27 条
  • [21] Solving complex multi-UAV mission planning problems using multi-objective genetic algorithms
    Cristian Ramirez-Atencia
    Gema Bello-Orgaz
    María D. R-Moreno
    David Camacho
    [J]. Soft Computing, 2017, 21 : 4883 - 4900
  • [22] Multi-UAV fire fighting mission planning based on improved artificial bee colony algorithm
    Zhang X.
    Hu Y.
    Li W.
    Pang Q.
    Yuan G.
    [J]. Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology, 2020, 28 (04): : 528 - 536
  • [23] Collision-Free Trajectory Planning for Multi-UAV Coordinated Ground Attack Mission under Uncertainties
    Tang, Jiayu
    Li, Xiangmin
    Dai, Jinjin
    Bo, Ning
    [J]. 2019 11TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC 2019), VOL 1, 2019, : 89 - 92
  • [24] Three-Dimensional Mountain Complex Terrain and Heterogeneous Multi-UAV Cooperative Combat Mission Planning
    Liu, Haishi
    Chen, Qiyong
    Pan, Nan
    Sun, Yuxuan
    Yang, Yaluo
    [J]. IEEE ACCESS, 2020, 8 (08): : 197407 - 197419
  • [25] Cooperative search-attack mission planning for multi-UAV based on intelligent self-organized algorithm
    Zhen Ziyang
    Xing Dongjing
    Gao Chen
    [J]. AEROSPACE SCIENCE AND TECHNOLOGY, 2018, 76 : 402 - 411
  • [26] Distributed intelligent self-organized mission planning of multi-UAV for dynamic targets cooperative search-attack
    Zhen, Ziyang
    Zhu, Ping
    Xue, Yixuan
    Ji, Yuxuan
    [J]. CHINESE JOURNAL OF AERONAUTICS, 2019, 32 (12) : 2706 - 2716
  • [27] Distributed intelligent self-organized mission planning of multi-UAV for dynamic targets cooperative search-attack
    Ziyang ZHEN
    Ping ZHU
    Yixuan XUE
    Yuxuan JI
    [J]. Chinese Journal of Aeronautics, 2019, (12) : 2706 - 2716