无人机群的多智能体路径规划

Richard Carney, M. Chyba, Chris Gray, A. Trimble
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引用次数: 2

摘要

群体的目标是使多个代理能够朝着一个共同的目标进行协作,就像人们在遥感环境中发现的那样。在本文中,我们关注的是无人机群(uav),例如,它们的目标是优化对指定区域的调查和/或对特定物体的检测。从中央命令控制中指示每个单独的代理很快就会变得效率低下,即使对于小的代理组也是如此。协议协议由多代理在本地完成,无需外部用户输入。由于无人机可能面临各种各样的情况,该算法需要在外部干扰的情况下保持鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Agents Path Planning for a Swarm of Unmanned Aerial Vehicles
The objective of swarms is to enable multiple agents to collaborate toward a common goal, as one would find in a remote sensing setting. In this paper we focus on swarms of unmanned aerial vehicles (UAVs), which for instance have an objective to optimize the survey of a prescribed area and/or the detection of a specific object. Instructing each individual agent from a central command control quickly becomes inefficient, even for small groups of agents. Agreement protocol is done locally by the multi-agents without external user input. Because of the wide variety of conditions UAVs can face, the algorithm needs to be robust despite external disturbances.
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