Testbed for warehouse automation experiments using mobile AGVs and drones

Ridolfi, Matteo; Macoir, Nicola; Gerwen, Jono Vanhie-Van; Rossey, Jen; Hoebeke, Jeroen; Poorter, Eli De

doi:10.1109/infcomw.2019.8845218

Cited by 15 publications

(11 citation statements)

References 3 publications

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“…The UWB testbed under consideration is located in the industrial Internet of Things (IIoT) lab [10] and is equipped with additional illumination LEDs, to assess and compare the positioning performance of RSS-based (u)VLP and aSDS-TWR UWB. The testbed is schematically and photographically visualised in Fig.…”

Section: Methodsmentioning

confidence: 99%

“…The roll-out environment, how many anchors of what type it is equipped with, which calibration is performed, the localisation parameters, and even the used result metric, all affect the positioning outcome [9]. Furthermore, the localization data generally have been collected sparsely and/or in a small lab setup [10]. This is especially the case for (u)VLP.…”

Section: Introductionmentioning

confidence: 99%

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Experimental Benchmarking of Next-Gen Indoor Positioning Technologies (Unmodulated) Visible Light Positioning and Ultra-Wideband

Bastiaens

Gerwen²,

Macoir³

et al. 2022

IEEE Internet Things J.

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Within the context of Internet of Things (IoT), many applications require high-quality positioning services. As opposed to traditional technologies, the two most recent positioning solutions, Ultra-Wideband (UWB) and (unmodulated) Visible Light Positioning ((u)VLP) are well-endowed to economically supply centimetre to decimetre level accuracy. This manuscript benchmarks the 2D positioning performance of an 8-anchor asymmetric double-sided two-way ranging (aSDS-TWR) UWB system and a 15-LED frequency-division multiple access (FDMA) received signal strength (RSS) (u)VLP system in terms of feasibility and accuracy. With extensive experimental data, collected at 2 heights in a 8 m by 6 m open zone equipped with a precise ground truth system, it is demonstrated that both VLP and UWB already attain median and 90 th percentile positioning errors in the order of 5 cm and 10 cm in line-of-sight (LOS) conditions. An approximately 20 cm median accuracy can be obtained with uVLP, whose main benefit is it being infrastructureless and thus very inexpensive. The accuracy degradation effects of non-line-ofsight (NLOS) on UWB/(u)VLP are highlighted with 4 scenarios, each consisting of a different configuration of metallic closets. For the considered setup, in 2D and with minimal tilt of the object to be tracked, VLP outscores UWB in NLOS conditions, while for LOS scenarios similar results are obtained.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental Benchmarking of Next-Gen Indoor Positioning Technologies (Unmodulated) Visible Light Positioning and Ultra-Wideband

Bastiaens

Gerwen²,

Macoir³

et al. 2022

IEEE Internet Things J.

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“…interests. An example is automation for warehouses with drones autonomously flying in large spaces [59,81]. These industrial environments are typically characterized by the presence of metals [22], which create multipath, reflections, diffraction, and obstruction.…”

Section: Applicationsmentioning

confidence: 99%

Self-calibration and Collaborative Localization for UWB Positioning Systems

et al. 2021

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Ultra-Wideband (UWB) is a Radio Frequency technology that is currently used for accurate indoor localization. However, the cost of deploying such a system is large, mainly due to the need for manually measuring the exact location of the installed infrastructure devices (“anchor nodes”). Self-calibration of UWB reduces deployment costs, because it allows for automatic updating of the coordinates of fixed nodes when they are installed or moved. Additionally, installation costs can also be reduced by using collaborative localization approaches where mobile nodes act as anchors. This article surveys the most significant research that has been done on self-calibration and collaborative localization. First, we find that often these terms are improperly used, leading to confusion for the readers. Furthermore, we find that in most of the cases, UWB-specific characteristics are not exploited, so crucial opportunities to improve performance are lost. Our classification and analysis provide the basis for further research on self-calibration and collaborative localization in the deployment of UWB indoor localization systems. Finally, we identify several research tracks that are open for investigation and can lead to better performance, e.g., machine learning and optimized physical settings.

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“…It is beneficial in refineries, pipelines, mines and other significant facilities, where human inspection is either dangerous or ineffective because not all regions can be accessed. As a result, drones assist in avoiding time-consuming, dangerous and costly human inspections (Ridolfi et al , 2019; Haleem and Javaid, 2019; Zhang et al , 2021). Intra-company transportation, or the movement of parts or materials between nearby plants of one company, will be another usage of drones in industry.…”

Section: Drones For Industry 40mentioning

confidence: 99%

Exploring contributions of drones towards Industry 4.0

Javaid

Khan

Singh

et al. 2021

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Purpose Unmanned aerial vehicles are commonly known as UAVs and drones. Nowadays, industries have begun to realise the operational and economic benefits of drone-enabled tasks. The Internet of Things (IoT), Big Data, drones, etc., represent implementable advanced technologies intended to accomplish Industry 4.0. The purpose of this study is to discuss the significant contributions of drones for Industry 4.0. Design/methodology/approach Nowadays, drones are used for inspections, mapping and surveying in difficult or hazardous locations. For writing this paper, relevant research papers on drone for Industry 4.0 are identified from various research platforms such as Scopus, Google Scholar, ResearchGate and ScienceDirect. Given the enormous extent of the topic, this work analyses many papers, reports and news stories in an attempt to comprehend and clarify Industry 4.0. Findings Drones are being implemented in manufacturing, entertainment industries (cinematography, etc.) and machinery across the world. Thermal-imaging devices attached to drones can detect variable heat levels emanating from a facility, trigger the sprinkler system and inform emergency authorities. Due partly to their utility and adaptability in industrial areas such as energy, transportation, engineering and more, autonomous drones significantly impact Industry 4.0. This paper discusses drones and their types. Several technological advances and primary extents of drones for Industry 4.0 are diagrammatically elaborated. Further, the authors identified and discussed 19 major applications of drones for Industry 4.0. Originality/value This paper’s originality lies in its discussion and exploration of the capabilities of drones for Industry 4.0, especially in manufacturing organisations. In addition to improving efficiency and site productivity, drones can easily undertake routine inspections and check streamlines operations and maintenance procedures. This work contributes to creating a common foundation for comprehending Industry 4.0 outcomes from many disciplinary viewpoints, allowing for more research and development for industrial innovation and technological progress.

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Testbed for warehouse automation experiments using mobile AGVs and drones

Cited by 15 publications

References 3 publications

Experimental Benchmarking of Next-Gen Indoor Positioning Technologies (Unmodulated) Visible Light Positioning and Ultra-Wideband

Experimental Benchmarking of Next-Gen Indoor Positioning Technologies (Unmodulated) Visible Light Positioning and Ultra-Wideband

Self-calibration and Collaborative Localization for UWB Positioning Systems

Exploring contributions of drones towards Industry 4.0

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