Unmanned Aerial Vehicles are frequently used for the exploration of a hostile environment. UAVs can be lost or significantly damaged during the exploration process. Although employing multiple UAVs can increase the chance of success, their efficiency depends on the collaboration strategies used. We present a cooperative exploration strategy for UAVs controlled by autonomous agents. The agents are sharing information, coordinate their short-term goals and path choices, while each agent uses state of the art algorithms for its individual path planning and obstacle avoidance. The overall goals are to minimize the exploration time, avoid damage by sharing information about threats, and be robust to the failures of individual UAVs. Extensive simulation results prove the validity of the approach and provide ways to determine the optimal number of UAVs for different exploration tasks.
Collaborative UAV Exploration of Hostile Environments
2004
7 pages
Report
Keine Angabe
Englisch
Aircraft , Common Carrier & Satellite , Algebra, Analysis, Geometry, & Mathematical Logic , Computers, Control & Information Theory , Algorithms , Autonomous navigation , Tactical data systems , Combat areas , Surveillance drones , Computerized simulation , Symposia , Decision making , Information transfer , Grids(Coordinates) , Adverse conditions , Artificial intelligence , Maps , Collaborative techniques , Unmanned aerial vehicles , Component reports , Uavs(Unmanned aerial vehicles) , Exploration , Hostile environments , Ogms(Occupancy grid maps) , Cxbr(Context based reasoning) , Intelligent agents , Combat zones
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