Publication: A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing
A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing
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Spica, R., Falanga, D., Cristofalo, E., Montijano, E., Scaramuzza, D., & Schwager, M. (2018, June 6). A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing. Robotics: Science and Systems, Pittsburgh. https://doi.org/10.15607/rss.2018.xiv.040
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To be successful in multi-player drone racing, a player must not only follow the race track in an optimal way, but also compete with other drones through strategic blocking, faking, and opportunistic passing while avoiding collisions. Since unveiling one’s own strategy to the adversaries is not desirable, this requires each player to independently predict the other players’ future actions. Nash equilibria are a powerful tool to model this and similar multi-agent coordination problems in which the absence of communication impedes full
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Spica, R., Falanga, D., Cristofalo, E., Montijano, E., Scaramuzza, D., & Schwager, M. (2018, June 6). A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing. Robotics: Science and Systems, Pittsburgh. https://doi.org/10.15607/rss.2018.xiv.040
