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Multi-Agent, Risk-Aware Collection Planning

June 18, 2020

AFRL is interested in new methods for planning of multiple air vehicles conducting sensor data collection under the threat of attrition. Approaches must balance the collection and return of sensor data with the loss of assets, yielding a multi-objective optimization problem with probabilistic uncertainty. Additionally, formal bounds on performance and complexity are needed to provide assurance of solution quality and computation time across a wide variety of potential problem instances.