Mapping the Emergent Trends in Industrial Augmented Reality

Augmented reality (AR) is a rapidly developing technology with the potential to revolutionize various sectors of industry by integrating digital information with the real world. This paper presents an overview of the emergent trends in industrial augmented reality (IAR) over the past five years. The study utilizes a comprehensive literature review analysis of industrial studies (searched on two scientific databases: Scopus and Clarivate Web of Science) to map the evolution of IAR trends from 2018 to 2022. The results revealed ten trending topics of AR application: Industry 4.0, artificial intelligence, smart manufacturing, industrial robots, digital twin, assembly, Internet of Things, visualization, maintenance, and training. Each topic is discussed in detail, providing insight into existing applications and research trends for each application field.

[1]  L. Pérez-Domínguez,et al.  Applications Analyses, Challenges and Development of Augmented Reality in Education, Industry, Marketing, Medicine, and Entertainment , 2023, Applied Sciences.

[2]  J. Antony,et al.  Learning curve applications in Industry 4.0: a scoping review , 2022, Production Planning & Control.

[3]  J. Behr,et al.  Industrial Use Cases: 3D Connectivity for Digital Twins: Decoupling 3D data utilization from delivery and file formats on an infrastructure level. , 2022, International Conference on 3D Technologies for the World Wide Web.

[4]  Ruixiang Zheng,et al.  Digital Twin in smart manufacturing: remote control and virtual machining using VR and AR technologies , 2022, Structural and Multidisciplinary Optimization.

[5]  R. M. Lima,et al.  SPC-based model for evaluation of training processes in industrial context , 2022, Journal of Industrial Engineering and Management.

[6]  Yuandong Tian,et al.  Antenna Artificial Intelligence: The Relentless Pursuit of Intelligent Antenna Design [Industry Activities] , 2022, IEEE Antennas and Propagation Magazine.

[7]  I. Verner,et al.  Augmented and Virtual Reality Experiences for Learning Robotics and Training Integrative Thinking Skills , 2022, Robotics.

[8]  Shaopeng Li,et al.  Overview of deep learning application on visual SLAM , 2022, Displays.

[9]  A. Hassoun,et al.  Meat 4.0: Principles and Applications of Industry 4.0 Technologies in the Meat Industry , 2022, Applied Sciences.

[10]  Shaoze Wu,et al.  Real-time mixed reality-based visual warning for construction workforce safety , 2022, Automation in Construction.

[11]  Q. Ni,et al.  Joint Radio Resource Allocation and Beamforming Optimization for Industrial Internet of Things in Software-Defined Networking-Based Virtual Fog-Radio Access Network 5G-and-Beyond Wireless Environments , 2022, IEEE Transactions on Industrial Informatics.

[12]  D. Mourtzis,et al.  An Intelligent Product Service System for Adaptive Maintenance of Engineered-to-Order Manufacturing Equipment Assisted by Augmented Reality , 2022, Applied Sciences.

[13]  Xiaoli Yang,et al.  Deep-Learning-Incorporated Augmented Reality Application for Engineering Lab Training , 2022, Applied Sciences.

[14]  E. Semenishchev,et al.  Mobile smartphone-based augmented reality for industry remote monitoring and maintenance , 2022, Photonics Europe.

[15]  A. Hanna,et al.  Augmented Reality in the Construction Industry: Use-Cases, Benefits, Obstacles, and Future Trends , 2022, Frontiers in Built Environment.

[16]  Vincent Weistroffer ,et al.  Using Physics-Based Digital Twins and Extended Reality for the Safety and Ergonomics Evaluation of Cobotic Workstations , 2022, Frontiers in Virtual Reality.

[17]  A. Malibari,et al.  Using Fuzzy Logic Control System as an Artificial Intelligence Tool to Design Soap Bubbles Robot as a Type of Interactive Games , 2022, Information Sciences Letters.

[18]  Paulo Dias,et al.  Comparing augmented reality visualization methods for assembly procedures , 2021, Virtual Real..

[19]  Joe Gabbard,et al.  What, How, and Why are Visual Assets Used in Industrial Augmented Reality? A Systematic Review and Classification in Maintenance, Assembly, and Training (From 1997 to 2019) , 2020, IEEE Transactions on Visualization and Computer Graphics.

[20]  Z. R. Mahayuddin,et al.  Vision based 3D Object Detection using Deep Learning: Methods with Challenges and Applications towards Future Directions , 2022, International Journal of Advanced Computer Science and Applications.

[21]  C. Wittenberg.  Challenges for the human-machine interaction in times of digitization, CPS & IIoT, and artificial intelligence in production systems , 2022, IFAC-PapersOnLine.

[22]  R. V. Prasad,et al.  Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects , 2022, IEEE Communications Surveys & Tutorials.

[23]  Siatras Vasilis,et al.  An Augmented Reality Framework for Visualization of Internet of Things Data for Process Supervision in Factory Shop-Floor , 2022, Procedia CIRP.

[24]  T. Zaharia,et al.  A low-cost AR training system for manual assembly operations , 2022, Comput. Sci. Inf. Syst..

[25]  Pai Zheng,et al.  AR-assisted digital twin-enabled robot collaborative manufacturing system with human-in-the-loop , 2022, Robotics Comput. Integr. Manuf..

[26]  D. Mourtzis,et al.  Smart Manufacturing and Tactile Internet Based on 5G in Industry 4.0: Challenges, Applications and New Trends , 2021, Electronics.

[27]  A. A. Ulson de Souza,et al.  Industry 4.0 in textile and apparel sector: a systematic literature review , 2021, Research Journal of Textile and Apparel.

[28]  T. Masood,et al.  Augmented Reality: Focusing on Photonics in Industry 4.0 , 2021, IEEE Journal of Selected Topics in Quantum Electronics.

[29]  Van Dat Chu,et al.  Prospects of application of IoT-based advanced technologies in remanufacturing process towards sustainable development and energy-efficient use , 2021, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects.

[30]  Zeyang Xia,et al.  Augmented Reality Assisted Assembly Training Oriented Dynamic Gesture Recognition and Prediction , 2021, Applied Sciences.

[31]  Paul Grefen,et al.  The HORSE framework: A reference architecture for cyber-physical systems in hybrid smart manufacturing , 2021, Journal of Manufacturing Systems.

[32]  Gholamreza Anbarjafari,et al.  Digital Twin for FANUC Robots: Industrial Robot Programming and Simulation Using Virtual Reality , 2021, Sustainability.

[33]  Shusheng Zhang,et al.  A mixed reality platform for assembly assistance based on gaze interaction in industry , 2021, The International Journal of Advanced Manufacturing Technology.

[34]  Viacheslav V. Voronin,et al.  Using augmented reality devices for remote maintenance and repair of industrial equipment as new challenges in the COVID-19 pandemic , 2021 .

[35]  Slobodan Dudić,et al.  Augmented Reality Applications in Industry 4.0 Environment , 2021, Applied Sciences.

[36]  Gustavo Ramirez-Gonzalez,et al.  RFID Applications and Security Review , 2021, Comput..

[37]  Meral Calış Duman,et al.  A study to determine the effects of industry 4.0 technology components on organizational performance , 2021 .

[38]  R. C. Yeow,et al.  Artificial Intelligence of Things (AIoT) Enabled Virtual Shop Applications Using Self‐Powered Sensor Enhanced Soft Robotic Manipulator , 2021, Advanced science.

[39]  Sara Shirowzhan,et al.  Metrics development and modelling the mixed reality and digital twin adoption in the context of Industry 4.0 , 2021 .

[40]  Quan Liu,et al.  A closed-loop brain-computer interface with augmented reality feedback for industrial human-robot collaboration , 2021, The International Journal of Advanced Manufacturing Technology.

[41]  Tobias Kaupp,et al.  Assisted Human-Robot-Interaction for Industrial Assembly: Application of Spatial Augmented Reality (SAR) for Collaborative Assembly Tasks , 2021, HRI.

[42]  Yu Ching Lin,et al.  Integration of intelligent diagnosis system and augmented reality for electric motors , 2021 .

[43]  Vincenzo Piuri,et al.  Industry 4.0 Implementation Challenges and Opportunities: A Managerial Perspective , 2021, IEEE Systems Journal.

[44]  David Baudry,et al.  A use case study comparing augmented reality (AR) and electronic document-based maintenance instructions considering tasks complexity and operator competency level , 2021, Virtual Reality.

[45]  Sungin Choi,et al.  Development of Augmented Reality System for Productivity Enhancement in Offshore Plant Construction , 2021, Journal of Marine Science and Engineering.

[46]  Bastian Engelmann,et al.  Human acceptance evaluation of AR-assisted assembly scenarios , 2021 .

[47]  Mariano Alcañiz,et al.  MANTRA: An Effective System Based on Augmented Reality and Infrared Thermography for Industrial Maintenance , 2021, Applied Sciences.

[48]  Tetyana Rocks,et al.  Augmented reality in medical education: students’ experiences and learning outcomes , 2021, Medical education online.

[49]  R. Awad,et al.  A novel approach to generate augmented reality assembly assistance automatically from CAD models , 2021, Procedia CIRP.

[50]  M. Witters,et al.  An adaptable framework to provide AR-based work instructions and assembly state tracking using an ISA-95 ontology , 2021, Procedia CIRP.

[51]  Lode Jorissen,et al.  Image-based state tracking in Augmented Reality supported assembly operations , 2021, Procedia CIRP.

[52]  Advanced Human-Robot Collaboration in Manufacturing , 2021 .

[53]  Fahmi Bellalouna,et al.  Digitization of industrial engineering processes using the augmented reality technology: industrial case studies , 2021 .

[54]  S. Pizzagalli,et al.  User-centered design for Human-Robot Collaboration systems , 2021 .

[55]  Sotiris Makris,et al.  AR based robot programming using teaching by demonstration techniques , 2021 .

[56]  A. Kar,et al.  Industrial Internet of Things and Emerging Digital Technologies–Modeling Professionals’ Learning Behavior , 2021, IEEE Access.

[57]  Fotios K. Konstantinidis,et al.  MARMA: A Mobile Augmented Reality Maintenance Assistant for Fast-Track Repair Procedures in the Context of Industry 4.0 , 2020, Machines.

[58]  T. Fernández-Caramés,et al.  Creating Collaborative Augmented Reality Experiences for Industry 4.0 Training and Assistance Applications: Performance Evaluation in the Shipyard of the Future , 2020, Applied Sciences.

[59]  Stefano Tubaro,et al.  Advanced Assistive Maintenance Based on Augmented Reality and 5G Networking , 2020, Sensors.

[60]  C. Thim,et al.  Visualisierung des digitalen Zwillings mit AR , 2020, Fabriksoftware.

[61]  Francesco De Pace,et al.  A systematic review of Augmented Reality interfaces for collaborative industrial robots , 2020, Comput. Ind. Eng..

[62]  Anna Syberfeldt,et al.  Augmented reality smart glasses in industrial assembly: Current status and future challenges , 2020, J. Ind. Inf. Integr..

[63]  Ezequiel Roberto Zorzal,et al.  Mobile augmented reality to support fuselage assembly , 2020, Comput. Ind. Eng..

[64]  Danakorn Nincarean Eh Phon,et al.  Using Augmented Reality Application to Reduce Time Completion and Error Rate in PC Assembly , 2020 .

[65]  Manex Serras,et al.  AREVA: Augmented Reality Voice Assistant for Industrial Maintenance , 2020, Proces. del Leng. Natural.

[66]  Norbert Chamier-Gliszczyński,et al.  Assessment of Augmented Reality in Manual Wiring Production Process with Use of Mobile AR Glasses , 2020, Sensors.

[67]  Erich Stark,et al.  Using Augmented Reality and Internet of Things for Control and Monitoring of Mechatronic Devices , 2020 .

[68]  Jose Aguilar,et al.  Industry 4.0: survey from a system integration perspective , 2020, Int. J. Comput. Integr. Manuf..

[69]  George Buslaev,et al.  Augmented Reality System and Maintenance of Oil Pumps , 2020, International Journal of Engineering.

[70]  Dimitris Mourtzis,et al.  Real-Time Remote Maintenance Support Based on Augmented Reality (AR) , 2020, Applied Sciences.

[71]  Duc Truong Pham,et al.  Dynamic risk assessment and active response strategy for industrial human-robot collaboration , 2020, Comput. Ind. Eng..

[72]  David Alejandro,et al.  Projection-Based Augmented Reality Assistance for Manual Electronic Component Assembly Processes , 2020, Applied Sciences.

[73]  N. Wild,et al.  Investigating the Potential of Smart Manufacturing Technologies , 2020, ISM.

[74]  R. Zhong,et al.  A Digital Twin Reference for Mass Personalization in Industry 4.0 , 2020 .

[75]  Petr Hořejší,et al.  A Smart Factory in a Smart City: Virtual and Augmented Reality in a Smart Assembly Line , 2020, IEEE Access.

[76]  Maurizio Faccio,et al.  Learning manual assembly through real-time motion capture for operator training with augmented reality , 2020, Procedia Manufacturing.

[77]  Roberto Revetria,et al.  Safety in Industry 4.0: The Multi-Purpose Applications of Augmented Reality in Digital Factories , 2020, Advances in Science, Technology and Engineering Systems Journal.

[78]  Ottogalli,et al.  Flexible Framework to Model Industry 4.0 Processes for Virtual Simulators , 2019, Applied Sciences.

[79]  A V Shukalov,et al.  Implementation of H2M technology and augmented reality for operation of cyber-physical production of the Industry 4.0 , 2019, Journal of Physics: Conference Series.

[80]  Federico Manuri,et al.  An Augmented Reality System to Support Fault Visualization in Industrial Robotic Tasks , 2019, IEEE Access.

[81]  Gustavo Ramirez-Gonzalez,et al.  Software survey: ScientoPy, a scientometric tool for topics trend analysis in scientific publications , 2019, Scientometrics.

[82]  S. Nahavandi.  Industry 5.0—A Human-Centric Solution , 2019, Sustainability.

[83]  T. Masood,et al.  Augmented reality in support of Industry 4.0 - Implementation challenges and success factors , 2019, Robotics Comput. Integr. Manuf..

[84]  A. Y. C. Nee,et al.  Improving Maintenance Efficiency with an Adaptive AR-assisted Maintenance System , 2019, Proceedings of the 2019 4th International Conference on Robotics, Control and Automation.

[85]  Sotiris Makris,et al.  Towards seamless human robot collaboration: integrating multimodal interaction , 2019, The International Journal of Advanced Manufacturing Technology.

[86]  Marc Erich Latoschik,et al.  Comparing Human Factors for Augmented Reality Supported Single-User and Collaborative Repair Operations of Industrial Robots , 2019, Front. Robot. AI.

[87]  Fridolin Wild,et al.  User Satisfaction in Augmented Reality-Based Training Using Microsoft HoloLens , 2018, Comput..

[88]  Magdalena Brunnhofer,et al.  Potentials of Augmented Reality in Training , 2019, Procedia Manufacturing.

[89]  Bruno Simões,et al.  X-Reality System Architecture for Industry 4.0 Processes , 2018, Multimodal Technol. Interact..

[90]  Syamsul Hendra Mahmud,et al.  Potentials of Internet of Things (IoT) in Malaysian Construction Industry , 2018, Annals of Emerging Technologies in Computing.

[91]  Dušan Tatić,et al.  AN AUGMENTED REALITY SYSTEM FOR IMPROVING HEALTH AND SAFETY IN THE ELECTRO-ENERGETICS INDUSTRY , 2018 .

[92]  A. Watson,et al.  The impact of experiential augmented reality applications on fashion purchase intention , 2018, International Journal of Retail & Distribution Management.

[93]  Tiago M. Fernández-Caramés,et al.  A Practical Evaluation of Commercial Industrial Augmented Reality Systems in an Industry 4.0 Shipyard , 2018, IEEE Access.

[94]  Fei Tao,et al.  Digital twin-driven product design, manufacturing and service with big data , 2017, The International Journal of Advanced Manufacturing Technology.

[95]  Valéry Bourny,et al.  Towards improving the future of manufacturing through digital twin and augmented reality technologies , 2018 .

[96]  Francesco Leali,et al.  Survey on Human-Robot Interaction for Robot Programming in Industrial Applications , 2018 .

[97]  Jörg Krüger,et al.  Affordance Based Approach to Automatic Program Generation for Industrial Robots in Manufacturing , 2018 .

[98]  Annika Raatz,et al.  A Method to Distinguish Potential Workplaces for Human-Robot Collaboration , 2018 .

[99]  Yunbo Zhang,et al.  Design and Interaction Interface using Augmented Reality for Smart Manufacturing , 2018 .

[100]  G. L. Cascella,et al.  Evaluating the effectiveness of spatial augmented reality in smart manufacturing: a solution for manual working stations , 2017, The International Journal of Advanced Manufacturing Technology.

[101]  George-Christopher Vosniakos,et al.  Design of a virtual reality training system for human–robot collaboration in manufacturing tasks , 2015, International Journal on Interactive Design and Manufacturing (IJIDeM).

[102]  Dusan Tatic,et al.  The application of augmented reality technologies for the improvement of occupational safety in an industrial environment , 2017, Comput. Ind..