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The main focus of this paper is to present a case study of a SLAM solution for Automated Guided Vehicles (AGVs) operating in real-world industrial environments. The studied solution, called Gold-fish SLAM, was implemented to provide localization estimates in dynamic industrial environments, where there are static landmarks that are only rarely perceived by the AGVs. The main idea of Gold-fish S...

In Distributed Simultaneous Localization and Mapping (SLAM), multiple agents generate a global map of the environment while each performing its local SLAM operation. One of the main challenges is to identify overlapping maps, especially when agents do not know their relative starting positions. In this paper we are introducing a distributed framework which uses an appearance based method to ide...

BACKGROUND AND OBJECTIVE To determine whether patients prefer topical anesthesia or subconjunctival anesthesia for intravitreal injection. PATIENTS AND METHODS Consecutive patients receiving bilateral simultaneous injections of anti-vascular endothelial growth factor agents were asked to participate in this within-patient, prospective, single-blinded, randomized, factorial study. Fifty-seven ...

Intrapartum use of oxytocin should entail controlled dosages administered through infusion, continual monitoring of mother and fetus and surgical back-up, since several adverse outcomes have been reported. However, in Uttar Pradesh, north India, small-scale ethnographic studies as well as a large-scale retrospective survey have established that unmonitored intramuscular oxytocin injections are ...

A technique for simultaneous localisation and mapping (SLAM) for large scale scenarios is presented. This solution is based on the use of independent submaps of a limited size to map large areas. In addition, a global stochastic map, containing the links between adjacent submaps, is built. The information in both levels is corrected every time a loop is closed: local maps are updated with the i...

This paper presents a two-dimensional multi-robot cooperative localization and mapping dataset collection for research and educational purposes. The dataset consists of nine sub-datasets, which can be used for studying problems such as robot-only cooperative localization, cooperative localization with a known map, and cooperative simultaneous localization and mapping (SLAM). The data collection...