文章摘要
钮建伟,安月琪,李晗,高炜峰,焉正权,董铭宇.军事领域中的人机协作研究综述[J].包装工程,2023,44(10):24-39.
军事领域中的人机协作研究综述
Human-machine Collaboration in the Military Field
  
DOI:10.19554/j.cnki.1001-3563.2023.10.003
中文关键词: 军事  人机协作  人机协同
英文关键词: military  human-machine collaboration  human-machine cooperation
基金项目:
作者单位
钮建伟 北京科技大学 机械工程学院北京 100083 
安月琪 北京科技大学 机械工程学院北京 100083 
李晗 北京科技大学 机械工程学院北京 100083 
高炜峰 北京科技大学 机械工程学院北京 100083 
焉正权 北京科技大学 机械工程学院北京 100083 
董铭宇 北京科技大学 机械工程学院北京 100083 
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中文摘要:
      目的 对军事领域中人机协作的应用现状和理论现状进行归纳与分析,指出未来的发展趋势,旨在为人机协作军事系统的技术发展和设计研究提供理论方向。方法 以无人机系统、无人车系统、无人艇系统的实际应用场景为代表,分析人机协作的军事应用现状;剖析军事背景下国内外人机协作任务分配、人机交互方式、人机交互界面设计、人机协作效能评估的研究进展;综合前人的研究现状对未来的研究发展趋势进行总结。结论 根据国内外研究的现状、热点与趋势可知,人机协作的任务分配需综合考虑人员行为和任务时序等因素,以提高人机协作效率,探寻更优的分配模式;多模态智能交互将成为未来人与无人集群交互的主流形态,多通道结合的信息交流将改变操作员与指控系统互动的方式,实现人与无人集群的高效交互;态势认知是未来智能战场面临的挑战,人机协作为智能态势认知领域的研究奠定了基础。
英文摘要:
      The work aims to summarize and analyze the current application status and theoretical status of human-machine collaboration in the military field and point out the future development trend, so as to provide theoretical directions for the technical development and design research of human-machine collaborative military systems. The current application status of human-machine collaboration in the military field was analyzed with the practical application scenarios of unmanned aircraft systems, unmanned vehicles and unmanned boats as representatives. Then, the research progress of human-machine collaborative task allocation, human-machine interaction methods, human-machine interaction interface design and human-machine collaborative effectiveness evaluation in China and abroad was analyzed in the military context. The future research trends were summarized by synthesizing the current status of the previous research. From the current status, hotspots and trends of Chinese and international research, it is concluded that the task allocation of human-machine collaboration needs to take into account factors such as personnel behavior and task timing, with the goal of improving the efficiency of human-machine collaboration, and exploring a better allocation model. The multimodal intelligent interaction will become the mainstream form of human-unmanned cluster interaction in the future, and the combined multi-channel information exchange will change the way for operators to interact with the accusation system, realizing the efficient human-unmanned cluster interaction. The situational awareness is a challenge for the future intelligent battlefield, and human-machine collaboration has laid the foundation for research in the field of intelligent situational awareness.
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