无人系统自主性技术研究现状与发展趋势 |
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引用本文: | 刘佩林.无人系统自主性技术研究现状与发展趋势[J].兵工自动化,2022,41(12). |
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作者姓名: | 刘佩林 |
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作者单位: | 上海交通大学电子信息与电气工程学院 |
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摘 要: | 鉴于无人系统自主性技术影响未来战争的发展方向,对其研究现状及发展趋势进行分析。阐述无人系统
自主性的内涵,并以面向不同单一导航任务为例介绍无人系统自主性技术的框架,重点揭示内驱力和外驱力在环境
模型构建和行为决策中的作用;对无人系统自主性技术研究现状进行分析,包括态势感知、自动规划、策略学习和
环境模型学习4 方面,据此判定无人系统自主性技术的研究趋势;讨论无人系统自主性技术在实际应用中存在的问
题与面临的挑战。结果表明,该分析可为我国无人系统的发展提供参考。
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关 键 词: | 无人系统 自主性技术 态势感知 自动规划 策略学习 环境模型学习 |
收稿时间: | 2022/8/15 0:00:00 |
修稿时间: | 2022/9/14 0:00:00 |
Research Status and Development Trend of Autonomous
Technology for Unmanned System |
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Abstract: | In view of the influence of autonomous technology of unmanned system on the development direction of
future warfare, the research status and development trend of autonomous technology of unmanned system are analyzed. The
autonomy of unmanned system is elaborated, and the framework of autonomous technology of unmanned system is
introduced by taking different single navigation tasks as an example, focusing on the role of internal and external drives in
environment model construction and behavior decision-making; The research status of autonomous technology of
unmanned system is analyzed, including situation awareness, automatic planning, policy learning and environment model
learning.Based on this, the research trend of autonomous technology of unmanned system is determined. The problems and
challenges in the practical application of the technology are discussed. The results show that the analysis can provide
reference for the development of unmanned system in China. |
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Keywords: | unmanned system autonomous technology situation awareness automated planning policy learning environment model learning |
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