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A case study of search-based path planning for a semi-autonomous mobile robot using visibility algorithms

机译:基于可见性算法的半自主移动机器人基于搜索的路径规划的案例研究

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Machines' capability to reproduce human abilities is the new source of technological advances. One of the most discussed approaches is the autonomous vehicles, machines that can move from place to place without human intervention in a safer way, since they can predict accidents. This research's goal is to bring forward algorithms to a semiautonomous mobile robot that has the purpose of searching an object in a known environment. To this end, algorithms that fit the case were selected and implemented. Such elected algorithms proved being able to construct the robot's intelligence efficiently.
机译:机器重现人类能力的能力是技术进步的新动力。讨论最多的方法之一是自动驾驶汽车,这种机器可以在不需人工干预的情况下从一个地方移动到另一个地方,因为它们可以预测事故。这项研究的目的是将算法引入半自主的移动机器人中,该机器人的目的是在已知环境中搜索对象。为此,选择并实现了适合情况的算法。这种选择的算法证明能够有效地构建机器人的智能。

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