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Humanoid robot localization based on hybrid map

机译:基于混合地图的仿人机器人定位

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摘要

In this paper we present a hybrid map based localization method for humanoid robot. A indoor hybrid map is created by a humanoid robot NAO with a camera and a laser range finder. A global topological map is constructed by natural landmarks, and local metrical maps are established using improved Rao-Blackwellized particle filter. In addition, we set up auxiliary semantic layer based on QR code. and a unified framework of semantic-topological-metric hybrid map is set up. An accurate localization result was obtained by combine a global localization based on topological map and local positioning using KLD-MCL, Experiments shows the method can meet the requirements of indoor localization for a humanoid robot.
机译:在本文中,我们提出了一种基于混合地图的人形机器人定位方法。室内混合地图是由具有照相机和激光测距仪的类人机器人NAO创建的。使用自然地标构建全局拓扑图,并使用改进的Rao-Blackwellized粒子滤波器建立局部度量图。另外,我们基于QR码建立了辅助语义层。建立了语义-拓扑-度量混合图的统一框架。通过结合基于拓扑图的全局定位和KLD-MCL的局部定位获得了准确的定位结果,实验表明该方法可以满足人形机器人室内定位的要求。

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