3D Absolute pose estimation of a staircase cleaning robot utilizing staircase geometry and minimal low-cost sensors

Ilyas Mohammad, Aamir Hayat Abdullah, Veerazhagadheswar Prabhakaran, R. E. Mohan
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Abstract

Thanks to its shape-shifting abilities, the sTetris robot can climb stairs while performing the cleaning task. The sTetris robot’s overall system operation depends on localization and positioning data, which are essential for its goal of autonomously navigating multi-floor environments. The mobile robots designed to work indoors generally rely on external systems for localization information. Regretfully, this frequently requires additional hardware fixing or changes to the indoor working environment in order to achieve accurate three-dimensional (3D) position and orientation (pose) for successful operation of the mobile platform. Nonetheless, the robot can be localized on the staircase by utilizing the information of the staircase’s geometry measurements, which are known ahead of time. This article demonstrates how the known geometry of staircases and measurements from minimal number of sensors can be used to accomplish 3D pose of the robot. Experiments carried out on a real robot in an authentic indoors setting successfully demonstrate the effectiveness of the suggested approach.
利用楼梯几何形状和最小低成本传感器对楼梯清洁机器人进行 3D 绝对姿态估计
由于具有变形能力,sTetris 机器人可以在执行清洁任务的同时爬楼梯。sTetris 机器人整个系统的运行依赖于定位和定位数据,这对其实现自主导航多楼层环境的目标至关重要。设计用于室内工作的移动机器人通常依靠外部系统获取定位信息。遗憾的是,这往往需要额外的硬件固定或改变室内工作环境,以实现移动平台成功运行所需的精确三维(3D)位置和方向(姿态)。尽管如此,机器人还是可以利用事先已知的楼梯几何测量信息在楼梯上定位。本文展示了如何利用已知的楼梯几何形状和最少传感器的测量数据来完成机器人的三维姿态。在真实室内环境中对真实机器人进行的实验成功证明了所建议方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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