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Satisficing Game Theory for Enhancing Autonomy in Unmanned Aerial Vehicles

Damiano Taurino, Sergio Taraglio, Alessandra Tedeschi, Alberto Pasquini, Vincenzo Nanni


An innovative approach to increase autonomy and decision making ability of Unmanned Aerial Vehicles (UAV) is here discussed. A Game Theory based decentralized algorithm for Conflict Detection and Resolution is proposed in order to ensure separation between different UAVs sharing the same airspace obtaining an overall traffic optimization. The algorithm is described in details and some computer-based simulations results about different traffic scenarios are presented, discussed and compared with the ones from other works. A real time simulation environment for realistic experimentations of the solution is also introduced and described.


Game Theory, Conflict Resolution, Autonomous Aerial Vehicles

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