Dynamic Mixed Reality Assembly Guidance Using Optical Recognition Methods

被引:4
|
作者
Maffei, Antonio [1 ]
Mura, Michela Dalle [2 ]
Monetti, Fabio Marco [1 ]
Boffa, Eleonora [1 ]
机构
[1] Royal Inst Technol, Dept Prod Engn, S-11428 Stockholm, Sweden
[2] Univ Pisa, Dept Civil & Ind Engn, I-56122 Pisa, Largo Lazzarino, Italy
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 03期
关键词
assembly; assembly instructions; assembly guidance; augmented reality; mixed reality; unity; Vuforia; AUGMENTED REALITY;
D O I
10.3390/app13031760
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Augmented (AR) and Mixed Reality (MR) technologies are enablers of the Industry 4.0 paradigm and are spreading at high speed in production. Main applications include design, training, and assembly guidance. The latter is a pressing concern, because assembly is the process that accounts for the biggest portion of total cost within production. Teaching and guiding operators to assemble with minimal effort and error rates is pivotal. This work presents the development of a comprehensive MR application for guiding novice operators in following simple assembly instructions. The app follows innovative programming logic and component tracking in a dynamic environment, providing an immersive experience that includes different guidance aids. The application was tested by experienced and novice users, data were drawn from the performed experiments, and a questionnaire was submitted to collect the users' perception. Results indicate that the MR application was easy to follow and even gave confidence to inexperienced subjects. The guidance support was perceived as useful by the users, though at times invasive in the field of view. Further development effort is required to draw from this work a complete and usable architecture for MR application in assembly, but this research forms the basis to achieve better, more consistent instructions for assembly guidance based on component tracking.
引用
收藏
页数:25
相关论文
共 50 条
  • [31] Mixed reality ultrasound guidance system: a case study in system development and a cautionary tale
    Golafsoun Ameri
    John S. H. Baxter
    Daniel Bainbridge
    Terry M. Peters
    Elvis C. S. Chen
    International Journal of Computer Assisted Radiology and Surgery, 2018, 13 : 495 - 505
  • [32] UnMapped: Leveraging Experts' Situated Experiences to Ease Remote Guidance in Collaborative Mixed Reality
    Johnson, Janet G.
    Sharkey, Tommy
    Butarbutar, Iramuali Cynthia
    Xiong, Danica
    Huang, Ruijie
    Sy, Lauren
    Weibel, Nadir
    PROCEEDINGS OF THE 2023 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2023), 2023,
  • [33] Dynamic and Visual Assembly Instruction for Configurable Products Using Augmented Reality Techniques
    Salonen, Tapio
    Saaski, Juha
    ADVANCED DESIGN AND MANUFACTURE TO GAIN A COMPETITIVE EDGE: NEW MANUFACTURING TECHNIQUES AND THEIR ROLE IN IMPROVING ENTERPRISE PERFORMANCE, 2008, : 23 - 32
  • [34] Interactive Robots Control Using Mixed Reality
    Ostanin, M.
    Yagfarov, R.
    Klimchik, A.
    IFAC PAPERSONLINE, 2019, 52 (13): : 695 - 700
  • [35] Switchable Virtual, Augmented, and Mixed Reality through Optical Cloaking
    Choi, Joseph S.
    NOVEL OPTICAL SYSTEMS DESIGN AND OPTIMIZATION XXI, 2018, 10746
  • [36] Mixed Reality in STEM Didactics: Case Study of Assembly Drawings of Complex Machines
    Laviola, Enricoandrea
    Gattullo, Michele
    Boccaccio, Antonio
    Evangelista, Alessandro
    Fiorentino, Michele
    Manghisi, Vito Modesto
    Uva, Antonio Emmanuele
    DESIGN TOOLS AND METHODS IN INDUSTRIAL ENGINEERING II, ADM 2021, 2022, : 157 - 164
  • [37] Object Recognition in Assembly Assisted by Augmented Reality System
    Nishihara, Anderson
    Okamoto, Jun, Jr.
    2015 SAI INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS), 2015, : 400 - 407
  • [38] An Investigation of Mixed Reality Technology for Onsite Construction Assembly
    DaValle, Austin
    Azhar, Salman
    9TH INTERNATIONAL CONFERENCE ON ENGINEERING, PROJECT, AND PRODUCTION MANAGEMENT (EPPM2018), 2020, 312
  • [39] Combining Simulation and Augmented Reality Methods for Enhanced Worker Assistance in Manual Assembly
    Lampen, Eva
    Teuber, Jonas
    Gaisbauer, Felix
    Baer, Thomas
    Pfeiffer, Thies
    Wachsmuth, Sven
    52ND CIRP CONFERENCE ON MANUFACTURING SYSTEMS (CMS), 2019, 81 : 588 - 593
  • [40] IMMERSIVE FEEDBACK IN FENCING TRAINING USING MIXED REALITY
    Malawski, Filip
    COMPUTER SCIENCE-AGH, 2022, 23 (01): : 37 - 62