Under this contract, we developed technology that addresses the dynamic problem of autonomous, competitive agents negotiating over the fair division of resources and tasks. We have applied this multi-agent technology to two military domains: commercial airlift procurement for large contingencies; and unmanned aerial vehicle (UAV) coordinated search and surveillance. The collaborative auction and mission exchange approach that we developed makes planning more flexible, missions more reliable, and leverages commercial operational best practices without having to integrate those practices into military systems or to make the expertise available to competitors. The UAV challenge is achieving real-time, effective coordination of a fleet of autonomous UAVs performing intelligence, surveillance and reconnaissance tasks. The focus is on coordinated target search (detection) and surveillance (monitoring) tasks. The developed technologies demonstrate how UAVs can plan missions collaboratively and re-plan adaptively based on realtime changes in UAV availability, pop-up targets and sensor capabilities. Metron has transitioned this UAV search technology to a NAVAIR Phase II SBIR contract to provide a new real-time search mission planning capability.
Multi-Agent Framework for the Fair Division of Resources and Tasks
2006
183 pages
Report
No indication
English
Aircraft , Military Sciences , Drones , Surveillance , Game theory , Airlift operations , Optimization , Detection , Monitoring , Real time , Reconnaissance , Tracking , Planning , Missions , Bayes theorem
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