COVID-19应用中无人机群的混合主动灵活自治

Parth Khopkar
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引用次数: 2

摘要

在新冠肺炎大流行期间,无人机群被用于各种任务。虽然这些无人机大多数是由人类操作员控制的,但与无人机群控制算法相关的研究表明,自主控制的无人机在各种任务中都优于人类操作员。本文为在大流行任务中利用无人机灵活自主控制以提高性能效率的框架奠定了基础。它还概述了在设计混合主动系统时需要考虑的因素,以便在任务期间在自主控制和人工控制之间切换。灵活的自主性确保了解大流行社会层面的人员出现在控制回路中。
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Mixed-Initiative Flexible Autonomy in Drone Swarms for COVID-19 Applications
Drone swarms have been utilized for various tasks during the COVID-19 pandemic. While most of these drones were controlled by human operators, research related to control algorithms of drone swarms has shown that autonomously controlled drones outperform human operators in a variety of tasks. This paper lays the foundation of a framework that utilizes flexible autonomy in control of drones during pandemic missions to boost performance efficiency. It also outlines the factors that need to be considered when designing mixed-initiative systems for switching between autonomous and human control during a mission. Flexible autonomy ensures that humans who understand the social dimensions of the pandemic are present in the control loop.
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