A dynamic mission abort policy for the swarm executing missions and its solution method by tailored deep reinforcement learning

Increasing Operational Resiliency of UAV Swarms: An Agent-Focused Search and Rescue Framework

“…Implementation Description [72] General systemic deployment Optimally aborting subtasks in heterogeneous swarms to increase overall unit survivability rate [73] General systemic deployment Design the best abort strategy for multi-unit swarms based on the probability of external shocks damaging units [74] Single UAV focused Design of replacement policies and maintenance cost for UAV reconnaissance system [75] Single UAV focused Dynamic allocation of a fixed number of components to increase the mission completion rate by UAV in a reconnaissance scenario [76] UAV swarm focused Considering the cost of damaged agents and unfinished tasks to compute abort policies [77] UAV swarm focused Evaluate system mission reliability and suggest swarm maintenance strategies [78] UAV swarm focused Incorporating abort policies in multi-UAV routing as a response to external shocks to ensure agent wellbeing [79] UAV swarm focused Consider degradation level, mission time, and equipment health to create dynamic mission abort policies interrupted task of the fallen agent or a re-allocation scheme for existing swarm agents to assume responsibility for the incomplete task. Resource allocation implementations such as in [61][62][63] exist that could be implemented.…”

A resilience-driven two-stage operational chain optimization model for unmanned weapon system-of-systems under limited resource environments

“…Resilience is defined as the system's or system-of-systems' ability to resist, maintain, and promptly recover expected performance through strategies and adaptations when faced with threats or disruptions [15,16]. Subsequently, research on resilience has been widely conducted in fields such as sociology [17,18], transportation [19,20], and the military [21,22].…”