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Design, Implement and Simulate an Agent Motion Planning Algorithm in 2D and 3D Environments

机译:在2D和3D环境中设计,实现和模拟Agent运动计划算法

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This article presents a computer simulated artificial intelligence (AI) agent that is able to moveand interact in 2D and 3D environments. The agent has two operating modes: Manual Modeand Map or Autopilot mode. In the Manual mode the user has full control over the agent andcan move it in all possible directions depending on the environment. In addition to that, thedesigned agent avoids hitting any obstacle by sensing them from a certain distance. The secondand most important mode is the Map mode, in which the user can create a custom map, assign astarting and target location, and add predefined and sudden obstacles. The agent will then moveto the target location by finding the shortest path avoiding any collision with any obstacleduring the agent’s journey.The article suggests as a solution, an algorithm that can help the agent to find the shortest pathto a predefined target location in a complex 3D environment, such as cities and mountains,avoiding all predefined and sudden obstacles. It also avoids these obstacles during manualcontrol and moves the agent to a safe location automatically.
机译:本文介绍了一种能够在2D和3D环境中移动和交互的计算机模拟人工智能(AI)代理。该代理具有两种操作模式:“手动”模式和“地图”或“自动驾驶”模式。在手动模式下,用户可以完全控制代理,并且可以根据环境在所有可能的方向上移动代理。除此之外,设计的代理程序还可以通过从一定距离感应障碍物来避免撞到任何障碍物。第二个也是最重要的模式是“地图”模式,在该模式下,用户可以创建自定义地图,分配起点和目标位置以及添加预定义和突然的障碍物。然后,代理将找到最短路径,从而避免与代理旅程中的任何障碍发生碰撞,从而移动到目标位置。本文提出了一种解决方案,该算法可以帮助代理在复杂3D中找到到预定义目标位置的最短路径。环境,例如城市和山脉,避免所有预定义和突然的障碍。它还避免了手动控制期间的这些障碍,并将代理自动移动到安全位置。

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