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A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing | IEEE Journals & Magazine | IEEE Xplore

    https://ieeexplore.ieee.org/document/9112709
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A Real-Time Game Theoretic Planner for Autonomous …

    https://ieeexplore.ieee.org/document/9112709
    A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing Abstract: In this article, we propose an online 3-D planning algorithm for a drone to race competitively against a single adversary drone. The algorithm computes an approximation of the Nash equilibrium in the joint space of trajectories of the two drones at each time ...

A Real-Time Game Theoretic Planner for Autonomous …

    https://arxiv.org/abs/1801.02302
    [Submitted on 8 Jan 2018 ( v1 ), last revised 26 Jan 2018 (this version, v2)] A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing Riccardo Spica, Davide Falanga, Eric Cristofalo, Eduardo Montijano, Davide Scaramuzza, Mac Schwager

A Real-Time Game Theoretic Planner for Autonomous …

    https://arxiv.org/abs/1801.02302v2
    In this paper, we propose a novel receding horizon planning algorithm that, exploiting sensitivity analysis within an iterated best response computational scheme, can approximate Nash equilibria in real time. We also describe a vision-based pipeline that allows each player to estimate its opponent's relative position.

A Real-Time Game Theoretic Planner for Autonomous …

    https://www.researchgate.net/publication/326738359_A_Real-Time_Game_Theoretic_Planner_for_Autonomous_Two-Player_Drone_Racing
    In this paper, we consider two-player autonomous drone racing as a practical application to develop effecti ve strategies for scenarios involving multiple rational agents that: ) do not communicate...

A real-time game theoretic planner for autonomous two-player …

    https://aicenter.stanford.edu/publications/2018/real-time-game-theoretic-planner-autonomous-two-player-drone-racing
    SAIL-Toyota Center For AI Research. Search this site Submit Search. Menu. Home; Research; Publications; About; People

A Real-Time Game Theoretic Planner for Autonomous …

    https://www.researchgate.net/publication/342061463_A_Real-Time_Game_Theoretic_Planner_for_Autonomous_Two-Player_Drone_Racing
    We present results of a simulation study of races with 2-D and 3-D race courses, showing that our game theoretic planner significantly outperforms a …

A Real-Time Game Theoretic Planner for Autonomous Two …

    http://roboticsproceedings.org/rss14/p40.pdf
    In this paper, we consider two-player autonomous drone racing as a practical application to develop effective strategies for scenarios involving multiple rational agents that: i) do not communicate their policies to each other, ii) know each other’s goals and constraints, iii) behave reactively in order to avoid collisions with other agents.

A Real-Time Game Theoretic Planner for Autonomous …

    https://www.semanticscholar.org/paper/A-Real-Time-Game-Theoretic-Planner-for-Autonomous-Spica-Falanga/11d29665a4c105418ff62adbff7887b3601997e4
    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 …

A Real-Time Game Theoretic Planner for …

    https://arxiv-export-lb.library.cornell.edu/pdf/1801.02302
    A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing Riccardo Spica, Davide Falanga, Eric Cristofalo, Eduardo Montijano, Davide Scaramuzza, Mac Schwager Abstract—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 ...

IEEE TRANSACTIONS ON ROBOTICS, VOL. X, NO. X, MAY …

    https://msl.stanford.edu/papers/spica_real-time_2020.pdf
    A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing Riccardo Spica, Eric Cristofalo, Zijian Wang, Eduardo Montijano, and Mac Schwager Abstract—In this paper, we propose an online 3-D planning algorithm for a drone to race competitively against a single adversary drone.

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