Human-machine collaborative additive manufacturing

被引:23
|
作者
Xiong, Yi [1 ]
Tang, Yunlong [2 ,3 ]
Kim, Samyeon [4 ]
Rosen, David W. [5 ,6 ]
机构
[1] Southern Univ Sci & Technol, Sch Syst Design & Intelligent Mfg, Shenzhen 518055, Peoples R China
[2] Monash Univ, Mech & Aerosp Engn Dept, Melbourne 3168, Australia
[3] Monash Univ, Mat Sci & Engn Dept, Melbourne 3168, Australia
[4] Jeonju Univ, Dept Mech Syst Engn, Jeonju Si 55069, Jeollabuk Do, South Korea
[5] Singapore Univ Technol & Design, Digital Mfg & Design DManD Ctr, 8 Somapah Rd, Singapore 487372, Singapore
[6] Georgia Inst Technol, GW Woodruff Sch Mech Engn, Atlanta, GA 30332 USA
基金
新加坡国家研究基金会; 中国国家自然科学基金;
关键词
Additive manufacturing; Human-cyber-physical systems; Human -centered manufacturing; Intelligent manufacturing; MULTIDISCIPLINARY DESIGN OPTIMIZATION; DATA-DRIVEN DESIGN; REALITY;
D O I
10.1016/j.jmsy.2022.12.004
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Recent advances in additive manufacturing have transformed the technology from a rapid prototyping tool into a viable production option. Within such transition, the relationships between human-machine in both cyber and physical spaces of additive manufacturing become diverse and complex. It is of great significance to gain insight and build a clear understanding of these relationships in the context of human-cyber-physical systems (HCPS) to facilitate the performance of the human-machine collaboration in various application scenarios of additive manufacturing. The paper utilizes the existing HCPS reference models to examines the emerging research field of human-machine collaborative additive manufacturing, focusing on typical scenarios, definitions, and classifi-cations. The collaboration activities are divided into active-supportive and active-active types. For the active -supportive type, intelligent additive manufacturing and human augmentation are detailed. Also, human -machine co-creation, as an active-active type, is covered. The paper concludes with a discussion of theoretical and practical implications and opportunities for future research.
引用
收藏
页码:82 / 91
页数:10
相关论文
共 50 条
  • [1] Human-machine Collaborative Additive Manufacturing for Industry 5.0
    Jiang Z.
    Xiong Y.
    Wang B.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2024, 60 (03): : 238 - 253
  • [2] Optimal Task Allocation for Human-Machine Collaborative Manufacturing Systems
    Hu, Bin
    Chen, Jing
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2017, 2 (04): : 1933 - 1940
  • [3] Design and control a hybrid human-machine collaborative manufacturing system in operational management technology to enhance human-machine collaboration
    Wang, Tao
    Zhan, Weiming
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024,
  • [4] Collaborative innovation and human-machine networks
    Kattel, Rainer
    Lember, Veiko
    Tonurist, Piret
    PUBLIC MANAGEMENT REVIEW, 2020, 22 (11) : 1652 - 1673
  • [5] A Human-Machine Interaction Mechanism: Additive Manufacturing for Industry 5.0-Design and Management
    Rani, Sunanda
    Jining, Dong
    Shoukat, Khadija
    Shoukat, Muhammad Usman
    Nawaz, Saqib Ali
    SUSTAINABILITY, 2024, 16 (10)
  • [6] Human Performance in Competitive and Collaborative Human-Machine Teams
    Bennett, Murray S. S.
    Hedley, Laiton
    Love, Jonathon
    Houpt, Joseph W. W.
    Brown, Scott D. D.
    Eidels, Ami
    TOPICS IN COGNITIVE SCIENCE, 2023,
  • [7] CASAM: collaborative human-machine annotation of multimedia
    Hendley, Robert J.
    Beale, Russell
    Bowers, Chris P.
    Georgousopoulos, Christos
    Vassiliou, Charalampos
    Sergios, Petridis
    Moeller, Ralf
    Karstens, Eric
    Spiliotopoulos, Dimitris
    MULTIMEDIA TOOLS AND APPLICATIONS, 2014, 70 (02) : 1277 - 1308
  • [8] IT Security for Collaborative Machines and Human-Machine Interaction
    Yu, Tianzhe
    Persico, Giuliano
    Tekkalmaz, Metin
    Meisberger, Karsten
    Raddatz, Hannes
    Riedl, Matthias
    2021 26TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2021,
  • [9] Human-machine collaborative systems for microsurgical applications
    Kragic, D
    Marayong, P
    Li, M
    Okamura, AM
    Hager, GA
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2005, 24 (09): : 731 - 741
  • [10] CASAM: collaborative human-machine annotation of multimedia
    Robert J. Hendley
    Russell Beale
    Chris P. Bowers
    Christos Georgousopoulos
    Charalampos Vassiliou
    Petridis Sergios
    Ralf Moeller
    Eric Karstens
    Dimitris Spiliotopoulos
    Multimedia Tools and Applications, 2014, 70 : 1277 - 1308