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A frontier-void-based approach for autonomous exploration in 3D

机译:一种基于边界虚空的 3D 自主探索方法

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摘要

We consider the problem of an autonomous robot searching for objects in unknown 3D space. Similar to the well-known frontier-based exploration in 2D, the problem is to determine a minimal sequence of sensor viewpoints until the entire search space has been explored. We introduce a novel approach that combines the two concepts of voids, which are unexplored volumes in 3D, and frontiers, which are regions on the boundary between voids and explored space. Our approach has been evaluated on a mobile platform using a 5-DOF manipulator searching for victims in a simulated urban search and rescue setup. The results indicate the real-world capability and search efficiency of the proposed method.
机译:我们考虑了一个自主机器人在未知的3D空间中搜索物体的问题。与众所周知的基于前沿的 2D 探索类似,问题在于确定传感器视点的最小序列,直到探索了整个搜索空间。我们引入了一种新颖的方法,将空隙和边界这两个概念结合在一起,前者是 3D 中未探索的体积,后者是虚空和探索空间之间边界上的区域。我们的方法已经在移动平台上进行了评估,使用5自由度操纵器在模拟城市搜索和救援设置中搜索受害者。结果表明了所提方法的实际能力和搜索效率。

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