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Modeling and Traversal of Pliable Materials for Tracked Robot Navigation

机译:用于跟踪机器人导航的柔性材料的建模和遍历

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In order to fully exploit robot, motion capabilities in complex environments, robots need to reason about obstacles in a non-binary fashion. In this paper, we focus on the modeling and characterization of pliable materials such as tall vegetation. These materials are of interest because they are pervasive in the real world, requiring the robotic vehicle to determine when to traverse or avoid them. This paper develops and experimentally verifies a template model for vegetation stems. In addition, it presents a methodology to generate predictions of the associated energetic cost incurred by a tracked mobile robot when traversing a vegetation patch of variable density.
机译:为了在复杂环境中充分利用机器人的运动能力,机器人需要以非二进制方式推理障碍物。在本文中,我们着重于对诸如高大植被之类的柔韧性材料的建模和表征。这些材料之所以令人感兴趣,是因为它们在现实世界中无处不在,需要机器人车辆确定何时穿越或避开它们。本文开发并通过实验验证了植被茎的模板模型。另外,它提出了一种方法来生成预测的信息,该预测是在遍历可变密度的植被斑块时,被跟踪的移动机器人所产生的相关能量成本的预测。

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