U-SMART: Unified Swarm Management and Resource Tracking Framework for Unoccupied Aerial Vehicles

A. Phadke, F. Medrano, Michael Starek
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Abstract

UAV (Unoccupied Aerial Vehicle) swarms have the ability to exhibit improved capabilities and performance when compared to individual UAVs. However, their target operation environment is fraught with disruptions, including communication limitations, sensor failures, and dynamic environmental conditions, which can significantly impact swarm performance and robustness. To address these challenges, the proposed U-SMART framework focuses on enabling resiliency within UAV swarms. Resiliency refers to the swarm's ability to adapt, recover, and maintain functionality in the face of disruptions. The framework integrates features such as agent well-being tracking, collision and obstacle avoidance, energy management, and task control to enhance the swarm's ability to withstand disruptions and continue operating effectively to provide a comprehensive solution for unified swarm management. The modular design allows flexible configuration, upgrades, and the addition of new components. This facilitates easy adaptation to specific swarm requirements and evolving operational needs. Using frameworks like U-SMART, swarm operators can efficiently manage and control UAV swarms, mitigate disruptions, and maintain high situational awareness in challenging environments. Performance is validated for the integrated modules to test feasibility for different experiment scenarios. For each module and feasibility test, thresholds were set to indicate acceptable performance in the presence of disruptions, and results for the swarm running on the proposed framework showed the acceptable performance of agents validated using explicitly designed metrics.
U-SMART:无人飞行器的统一蜂群管理和资源跟踪框架
与单个无人飞行器相比,无人飞行器群能够展示出更强的能力和性能。然而,它们的目标操作环境充满干扰,包括通信限制、传感器故障和动态环境条件,这些都会严重影响蜂群的性能和鲁棒性。为了应对这些挑战,拟议的 U-SMART 框架重点关注无人机群内部的恢复能力。恢复能力是指无人机群面对干扰时的适应、恢复和维持功能的能力。该框架集成了代理福祉跟踪、碰撞和避障、能量管理和任务控制等功能,以增强蜂群抵御干扰和继续有效运行的能力,从而为统一的蜂群管理提供全面的解决方案。模块化设计允许灵活配置、升级和添加新组件。这有助于轻松适应特定的蜂群要求和不断变化的运行需求。利用 U-SMART 等框架,无人机群操作员可以有效地管理和控制无人机群,减少干扰,并在具有挑战性的环境中保持高度的态势感知能力。对集成模块的性能进行了验证,以测试不同实验场景的可行性。对于每个模块和可行性测试,都设定了阈值,以表明在出现干扰时可接受的性能,在拟议框架上运行的蜂群结果显示,使用明确设计的指标验证的代理性能是可接受的。
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