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AN AUTONOMOUS HYBRID ROBOT SYSTEM TO NAVIGATE THROUGH UNKNOWN MAZE ENVIRONMENTS

机译:通过未知的迷宫环境导航的自主混合机器人系统

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This paper describes a fully complete autonomous hybrid robot system, named YAM (Yet Another Mouse), that is able to navigate through an unknown maze environment. YAM effectively tackles the problem of how to represent the environment using its sensor data to produce probability maps of the walls and beacons. Besides that, it is capable of computing long-term path plans using an adapted breadth-first search algorithm. It also shows how it is possible to model the actual motors behavior as a reactive task, using artificially created virtual short-term goals. We give real contest results, showing how YAM behaved on the "Ciber-Rato" robotics competition.
机译:本文介绍了一个完全完整的自主混合机器人系统,名为YAM(另一只老鼠),它能够在未知的迷宫环境中导航。 YAM有效地解决了如何使用其传感器数据来表示环境以生成墙壁和信标的概率图的问题。除此之外,它还可以使用适应性广度优先搜索算法来计算长期路径计划。它还显示了如何使用人为创建的虚拟短期目标将实际的电动机行为建模为无功任务。我们给出了真实的比赛结果,显示了YAM在“ Ciber-Rato”机器人比赛中的表现。

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