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Smart Global Positioning System for Autonomous Delivery Robots in Hospitals

机译:医院自主配送机器人的智能全球定位系统

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Autonomous delivery robots have been employed in several hospitals across the United States to transport medical equipment, medicine, and food. However, they still face many difficulties, especially with the localization of robots within buildings, since most robots are currently using outdated techniques such as landmark recognition, beacons, or RFID tags. These methods are not only imprecise and unreliable but they also require a careful setup/distribution of special hardware in the hospital. Additional sensing and computing power are also needed for searching and detecting of landmarks, ultimately increasing manufacturing costs. We propose an innovative solution with a Smart Global Positioning System (S-GPS) framework and a novel algorithm for tracking delivery robots using multilateration technique with optimal number of references. The S-GPS framework enables to compute coordinates of all static sensors and mobile robots within the building and allows for fault tolerance in case of sensor failures. The algorithm provides precise localization of patients and delivery robots for improved navigation.
机译:自主运送机器人已在美国各地的多家医院中使用,用于运送医疗设备,药品和食品。但是,由于大多数机器人当前都使用过时的技术,例如地标识别,信标或RFID标签,因此它们仍然面临许多困难,尤其是在建筑物内的机器人本地化方面。这些方法不仅不精确且不可靠,而且还需要在医院中仔细设置/分发特殊硬件。还需要额外的传感和计算能力来搜索和检测界标,最终增加了制造成本。我们提出了一种具有智能全球定位系统(S-GPS)框架的创新解决方案,并提出了一种新颖的算法,该算法使用具有最佳参考数量的多边技术来跟踪配送机器人。 S-GPS框架可以计算建筑物内所有静态传感器和移动机器人的坐标,并在传感器发生故障时提供容错能力。该算法可对患者和输送机器人进行精确定位,以改善导航效果。

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