Augmented reality integration into MES for connected workers

Blaga, Andreea; Militaru, Cristian; Mezei, Ady-Daniel; Tamás, Levente

doi:10.1016/j.rcim.2020.102057

Cited by 40 publications

(20 citation statements)

References 21 publications

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“…The proposed strategy is made up of 2-steps: (i) the use of the depth information for clustering and identifying 3D boxes that are likely to enclose human obstacles, then (ii) the computation of a confidence index for human presence based on the RGB data. Instead, the approaches proposed in [ 52 ] aim at demonstrating the integration of AR as an enabler for enhanced perception-based interactions along assembly Manufacturing Execution Systems (MES). The authors propose an application involving mixed reality smartglasses for AR implementation for collaboration with a cobot, and a path visualization application for humans working with AGVs, using an AR computing platform.…”

Section: Robotic Systems and Human-robot Perceptionmentioning

confidence: 99%

Human-Robot Perception in Industrial Environments: A Survey

Bonci

Cheng

Indri

et al. 2021

Sensors

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Perception capability assumes significant importance for human–robot interaction. The forthcoming industrial environments will require a high level of automation to be flexible and adaptive enough to comply with the increasingly faster and low-cost market demands. Autonomous and collaborative robots able to adapt to varying and dynamic conditions of the environment, including the presence of human beings, will have an ever-greater role in this context. However, if the robot is not aware of the human position and intention, a shared workspace between robots and humans may decrease productivity and lead to human safety issues. This paper presents a survey on sensory equipment useful for human detection and action recognition in industrial environments. An overview of different sensors and perception techniques is presented. Various types of robotic systems commonly used in industry, such as fixed-base manipulators, collaborative robots, mobile robots and mobile manipulators, are considered, analyzing the most useful sensors and methods to perceive and react to the presence of human operators in industrial cooperative and collaborative applications. The paper also introduces two proofs of concept, developed by the authors for future collaborative robotic applications that benefit from enhanced capabilities of human perception and interaction. The first one concerns fixed-base collaborative robots, and proposes a solution for human safety in tasks requiring human collision avoidance or moving obstacles detection. The second one proposes a collaborative behavior implementable upon autonomous mobile robots, pursuing assigned tasks within an industrial space shared with human operators.

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Section: Robotic Systems and Human-robot Perceptionmentioning

confidence: 99%

Human-Robot Perception in Industrial Environments: A Survey

Bonci

Cheng

Indri

et al. 2021

Sensors

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“…AR is a perfect blend of real-time information, texts, images, and audio-visual enhancements to give a better understanding of the environment, localization, and execution of tasks. AR takes the physical world information as input and gives the computerized high definition graphics output that makes physical world information understandable and comprehensible (Henderson and Feiner, 2011;Blaga et al, 2021). It also helps in improving business efficiency and an impactful exceptional consumer and employee experience.…”

Section: Augmented Reality (Ar)mentioning

confidence: 99%

Procurement 4.0 to the rescue: catalysing its adoption by modelling the challenges

Jerome

Saxena

Sonwaney

et al. 2021

BIJ

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PurposeThe pandemic crisis has resulted in global chaos that had caused massive disruption to the supply chain. The pharmaceutical industry, in particular, has been working tirelessly to ensure that they can cater to the people who need them. With restrictions being imposed to prevent the spread of the COVID-19 virus, the movement of raw materials required has been affected, thus creating the need for the procurement function to be innovative. This study proposes the application of Industry 4.0 concepts into the procurement activities of an organization to make it more resilient and efficient.Design/methodology/approachTo study the intensity of the challenges, Total Interpretive Structural Modelling is used alongside the “Matrice des Impacts Croises Multiplication Appliquee a un Classement” (MICMAC) technique.FindingsResilience can be achieved through the collaboration between the organization and its network of suppliers. This is however easier said than done. High and unclear investments have been identified as the challenge that is taking a toll on all technological investments in the pandemic era. The study also shows that organizational inertia which is present in established and structured firms are a deterrent as well.Originality/valueThis study is based on the application of procurement 4.0 to ensure that pharmaceutical supply chains stay least affected since they are essentials. This study using a multi-criteria decision-making approach to prioritize the challenges. This will help practitioners make decisions faster.

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“…Both ARcore and Wikitude met our requirements, while Vuforia lacks the motion and position tracking. After a thorough study, we selected ARcore, Version 1.26.0, due to its wide adoption among researchers [35] and its active community. Finally, the application's platform had to support ARcore and include wireless communication structures in order to exchange information with ROS.…”

Section: Software Toolsmentioning

confidence: 99%

An Augmented Reality Symbiosis Software Tool for Sustainable Logistics Activities

2021

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Augmented Reality (AR) is an emerging technology in the Industry 4.0 and Logistics 4.0 contexts with an important role in man–machine symbiosis scenarios. Practitioners, although already acquainted with AR technology, are reluctant to adopt AR applications in industrial operations. This stems from the fact that a direct connection that is important for the management of sustainability goals is missing. Moreover, such a connection with economic, social, and environmental sustainability parameters sparsely appears in the AR literature. The proposed research, on one hand, presents an innovative architecture for a stable and scalable AR application that extents state-of-the-art solutions and, on the other hand, attempts to study AR technology within the framework of a sustainable business strategy. The developed system utilizes the Robot Operating System (ROS) alongside an AR mobile application to present an employee navigation scenario in warehouses and production lines. ROS is responsible for mapping the industrial facility, while the AR mobile application identifies the surrounding environment, along with a Real-Time Location System localizes employees in the facility. Finally, ROS identifies the shortest path between the employee and the destination point, while the AR mobile application presents the virtual path for reaching the destination.

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Augmented reality integration into MES for connected workers

Cited by 40 publications

References 21 publications

Human-Robot Perception in Industrial Environments: A Survey

Human-Robot Perception in Industrial Environments: A Survey

Procurement 4.0 to the rescue: catalysing its adoption by modelling the challenges

An Augmented Reality Symbiosis Software Tool for Sustainable Logistics Activities

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