Multi-floor navigation method for mobile robot transportation based on StarGazer sensors in life science automation

A. Abdulla, Hui Liu, N. Stoll, K. Thurow
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引用次数: 9

Abstract

In this paper, a new multi-floor navigating method is proposed for the intelligent mobile robot transportation in life science laboratories. The proposed method includes two technical solutions as follows: (a) a solution is presented to build a multi-floor map for the mobile robots based on the ceiling landmarks and the robot on-board StarGazer sensors. All the installed ceiling landmarks are given an unique HEX ID and the StarGazer sensors work as a HEX reader to measure the ceiling HEX IDs to calculate the indoor positions of the mobile robots. With this solution, the multi-floor map can be extended and revised conveniently by the laboratory personal for any sizes of laboratory environments and any types of mobile robots; (b) a new approach is made to recognize and understand the environments of the elevators in the life science laboratories for the mobile robot multi-floor transportation. In the approach, the Microsoft Kinect sensors are utilized to measure the physical features of the elevators. Two experiments are provided to validate the performance of the proposed multi-floor navigation method. The results show that the proposed method is effective for the mobile robot multi-floor transportation in laboratory environments.
生命科学自动化中基于StarGazer传感器的移动机器人多层导航运输方法
针对生命科学实验室中智能移动机器人的运输问题,提出了一种新的多层导航方法。该方法包括以下两种技术解决方案:(a)提出了一种基于天花板地标和机器人机载StarGazer传感器构建移动机器人多层地图的解决方案。所有安装的天花板地标都有一个唯一的HEX ID, StarGazer传感器作为HEX读取器来测量天花板HEX ID,以计算移动机器人的室内位置。通过该方案,实验室人员可以方便地扩展和修改多层地图,适用于任何规模的实验室环境和任何类型的移动机器人;(2)为移动机器人多层运输的生命科学实验室电梯环境的识别和理解提供了一种新的方法。在这种方法中,微软Kinect传感器被用来测量电梯的物理特征。通过两个实验验证了多层导航方法的性能。结果表明,该方法对实验室环境下的移动机器人多层运输是有效的。
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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