An Augmented Reality approach to factory layout design embedding operation simulation

Κόκκας, Ανδρέας; Vosniakos, George–Christopher

doi:10.1007/s12008-019-00567-6

Cited by 28 publications

(10 citation statements)

References 25 publications

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“…As industrial robots in the Industry 4.0 environment continue to progress and develop, they should be made more intelligent and more automated to replace people in complex, boring, and harsh work environments to maximize their potential roles and advantages. In the past, the development and manufacturing process of industrial robots was often conceptual design followed by actual production prototypes, then testing of prototypes, and then continuous modification and testing until the design requirements were met, which took a long time and increased production costs and could not meet the current production requirements [2]. In this situation and to achieve industrial development needs to improve product quality, shorten the research and development cycle, reduce research and development costs, and increase the technical content of various requirements.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Dynamic Simulation Modeling of Industrial Robot Kinematics in Industry 4.0

Guang

2022

Discrete Dynamics in Nature and Society

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This paper studies the kinematic dynamic simulation modeling of industrial robots in the Industry 4.0 environment and guides the kinematic dynamic simulation modeling of industrial robots in the Industry 4.0 environment in the context of the research. To address the problem that each parameter error has different degrees of influence on the end position error, a method is proposed to calculate the influence weight of each parameter error on the end position error based on the MD-H error model. The error model is established based on the MD-H method and the principle of differential transformation, and then the function of uniform variation of six joint angles with time t is constructed to ensure that each linkage geometric parameter is involved in the motion causing error accumulation. Through the analysis of the robot marking process, the inverse solution is optimized for multiple solutions, and a unique engineering solution is obtained. Linear interpolation, parabolic interpolation, polynomial interpolation, and spline curve interpolation are performed on the results after multisolution optimization in the joint angle, and the pros and cons of various interpolation results are analyzed. The trajectory planning and simulation of industrial robots in the Industry 4.0 environment are carried out by using a special toolbox. The advantages and disadvantages of the two planning methods are compared, and the joint space trajectory planning method is selected to study the planning of its third and fifth polynomials. The kinetic characteristics of the robot were simulated and tested by experimental methods, and the reliability of the simulation results of the kinetic characteristics was verified. The kinematic solutions of industrial robots and the results of multisolution optimization are simulated. The methods, theories, and strategies studied in this paper are slightly modified to provide theoretical and practical support for another dynamic simulation modeling of industrial robot kinematics with various geometries.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Dynamic Simulation Modeling of Industrial Robot Kinematics in Industry 4.0

Guang

2022

Discrete Dynamics in Nature and Society

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“…Based on the system, a concrete usage example for factory planning was declared. Kokkas et al [12] performed layout planning of machinery with AR tools, aiming to evaluate the suggested layouts through non-measurable factors.…”

Section: Designmentioning

confidence: 99%

“…Pertaining to current research in the AR field-AR industrial systems are mainly applied toward design, maintenance, assembly, repair, training, and inspection processes, with the goal of improving performance and reducing costs and machine losses [9,10]. In the design stage, two application scenarios are the CAD product model and factory layout [11][12][13][14]. Regarding CAD, with AR techniques and mobile devices, the designer can visualize a 3D virtual target object directly superimposed on the real environment.…”

Section: Introductionmentioning

confidence: 99%

A Multi-User Collaborative AR System for Industrial Applications

Wang

2022

Sensors

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Augmented reality (AR) applications are increasingly being used in various fields (e.g., design, maintenance, assembly, repair, training, etc.), as AR techniques help improve efficiency and reduce costs. Moreover, collaborative AR systems extend applicability, allowing for collaborative environments for different roles. In this paper, we propose a multi-user collaborative AR system (aptly called the “multi-user collaborative system”, or MUCSys); it is composed of three ends—MUCStudio, MUCView, and MUCServer. MUCStudio aims to construct industrial content with CAD model transformation, simplification, database update, marker design, scene editing, and exportation, while MUCView contains sensor data analysis, real-time localization, scene loading, annotation editing, and virtual–real rendering. MUCServer—as the bridge between MUCStudio and MUCView—presents collaborative and database services. To achieve this, we implemented the algorithms of local map establishment, global map registration, optimization, and network synchronization. The system provides AR services for diverse industrial processes via three collaborative ways—remote support, collaborative annotation, and editing. According to the system, applications for cutting machines were presented to improve efficiency and reduce costs, covering cutting head designs, production line sales, and cutting machine inspections. Finally, a user study was performed to prove the usage experience of the system.

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“…Using 3D enables the ability to intuitively grasp the status and has the effect of greatly improving communication with the people who cooperate [ 11 ]. Due to these advantages, research and studies are being introduced to visualize factories based on VR/AR using Unity [ 20 ]. Typically, VR is mainly used for evaluation of newly constructed factories or changed manufacturing lines, and cases where AR is applied for maintenance of existing factories and equipment are reported [ 21 ].…”

Section: Related Researchmentioning

confidence: 99%

Digital Twin-Based Integrated Monitoring System: Korean Application Cases

Choi

Woo

Kim

et al. 2022

Sensors

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A digital twin is a virtual model of a process, product, or service, which is one of the key technologies in the fourth industry. The pairing of the virtual and physical world allows analysis of data and monitoring of systems to head off problems before they occur. This paper presents a digital twin architecture and a system based on an interoperable data model. It explains how to build a digital twin for the integrated control monitoring using edge devices, data analytics, and realistic 3D visualization. The system allows continuous collaboration between field engineers for data gathering, designers for modeling 3D models, and layout engineers for layout changing by generating 3D digital twin models automatically. The system helps stakeholders focus on their respective roles to build digital twins. Examples applied to the Korean automotive parts makers are also introduced in this paper. The system can be easily used by small and medium-sized enterprises (SMEs) as well as large companies. Beyond simply watching the production site with CCTV, the production site can be intuitively managed based on the digital twin.

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An Augmented Reality approach to factory layout design embedding operation simulation

Cited by 28 publications

References 25 publications

[Retracted] Dynamic Simulation Modeling of Industrial Robot Kinematics in Industry 4.0

[Retracted] Dynamic Simulation Modeling of Industrial Robot Kinematics in Industry 4.0

A Multi-User Collaborative AR System for Industrial Applications

Digital Twin-Based Integrated Monitoring System: Korean Application Cases

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