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Game of spheros: A real-world pursuit-evasion game with type-2 fuzzy logic

机译:球形游戏:具有Type-2模糊逻辑的真实世界追求逃避游戏

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In this paper, we will present the novel application of Type-2 (T2) fuzzy logic to solve a real-time pursuit-evasion game problem with the spherical droids Sphero 2.0 and BB8 (products of the Sphero company). The game scenario is constructed as the evader droid BB8 is controlled by a human user while the pursuer droid Sphero 2.0 is navigated through the game environment via the proposed T2 fuzzy pursuing system. The proposed T2 fuzzy pursuing system structure is composed of vision based localization, the error signal generator, T2 fuzzy strategy planner and the control system. The T2 fuzzy strategy planner is the key structure of the pursuing system since it generates the reference trajectories to be followed by the pursuer droid Sphero 2.0. In this paper, we have transformed design guidelines presented for T2 fuzzy logic controllers into two pursuing strategies for the first time in literature. The performances of the proposed T2 fuzzy strategies have been examined by providing comparative experimental results performed in the real-world game environment against a human user. We believe that this pioneer application of the T2 fuzzy logic in pursuit-evasion games will be an important step for a wider deployment in the research area of real world games.
机译:在本文中,我们将介绍2型(T2)模糊逻辑的新颖应用,以解决与球形Droids Sphero 2.0和BB8(Spurho公司产品)的实时追踪逃避游戏问题。游戏场景被构造为避难者DROID BB8由人类用户控制,而追捕器Droid Sphero 2.0通过游戏环境导航通过所提出的T2模糊追求系统。所提出的T2模糊追求系统结构由基于视觉的定位组成,误差信号发生器,T2模糊策略规划师和控制系统。 T2模糊策略规划师是追求系统的关键结构,因为它产生了追踪轨迹的追踪轨迹。在本文中,我们在文学中首次转变为T2模糊逻辑控制器提供的设计指南,以两次追求策略。通过提供对人类用户的真实游戏环境中的比较实验结果,研究了所提出的T2模糊策略的性能。我们认为,这种追求逃避游戏的T2模糊逻辑的先驱应用将是在真实世界游戏研究领域更广泛的部署的重要一步。

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