Function Block-Based Multimodal Control for Symbiotic Human-Robot Collaborative Assembly

被引:19
|
作者
Liu, Sichao [1 ]
Wang, Lihui [1 ]
Wang, Xi Vincent [1 ]
机构
[1] KTH Royal Inst Technol, Dept Prod Engn, S-10044 Stockholm, Sweden
关键词
robotics; human-robot collaboration; multimodal robot control; function block; assembly; IEC; 61499; SYSTEM;
D O I
10.1115/1.4050187
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In human-robot collaborative assembly, robots are often required to dynamically change their preplanned tasks to collaborate with human operators in close proximity. One essential requirement of such an environment is enhanced flexibility and adaptability, as well as reduced effort on the conventional (re)programming of robots, especially for complex assembly tasks. However, the robots used today are controlled by rigid native codes that cannot support efficient human-robot collaboration. To solve such challenges, this article presents a novel function block-enabled multimodal control approach for symbiotic human-robot collaborative assembly. Within the context, event-driven function blocks as reusable functional modules embedded with smart algorithms are used for the encapsulation of assembly feature-based tasks/processes and control commands that are transferred to the controller of robots for execution. Then, multimodal control commands in the form of sensorless haptics, gestures, and voices serve as the inputs of the function blocks to trigger task execution and human-centered robot control within a safe human-robot collaborative environment. Finally, the performed processes of the method are experimentally validated by a case study in an assembly work cell on assisting the operator during the collaborative assembly. This unique combination facilitates programming-free robot control and the implementation of the multimodal symbiotic human-robot collaborative assembly with the enhanced adaptability and flexibility.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] A structured methodology for the design of a human-robot collaborative assembly workplace
    João Costa Mateus
    Dieter Claeys
    Veronique Limère
    Johannes Cottyn
    El-Houssaine Aghezzaf
    [J]. The International Journal of Advanced Manufacturing Technology, 2019, 102 : 2663 - 2681
  • [42] Worker in the Loop: A Framework for Enabling Human-Robot Collaborative Assembly
    Tzavara, Eleni
    Angelakis, Panagiotis
    Veloudis, George
    Gkournelos, Christos
    Makris, Sotiris
    [J]. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, APMS 2021, PT I, 2021, 630 : 275 - 283
  • [43] A strategy transfer approach for intelligent human-robot collaborative assembly
    Lv, Qibing
    Zhang, Rong
    Liu, Tianyuan
    Zheng, Pai
    Jiang, Yanan
    Li, Jie
    Bao, Jinsong
    Xiao, Lei
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2022, 168
  • [44] GoferBot: A Visual Guided Human-Robot Collaborative Assembly System
    Zhuang, Zheyu
    Ben-Shabat, Yizhak
    Zhang, Jiahao
    Gould, Stephen
    Mahony, Robert
    [J]. 2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2022, : 8910 - 8917
  • [45] Task allocation for improved ergonomics in Human-Robot Collaborative Assembly
    El Makrini, Ilias
    Merckaert, Kelly
    De Winter, Joris
    Lefeber, Dirk
    Vanderborght, Bram
    [J]. INTERACTION STUDIES, 2019, 20 (01) : 102 - 133
  • [46] Continuous Hand Gesture Recognition for Human-Robot Collaborative Assembly
    Kwolek, Bogdan
    [J]. 2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS, ICCVW, 2023, : 1992 - 1999
  • [47] Human-robot collaborative assembly: a use-case application
    Casalino, Andrea
    Cividini, Filippo
    Zanchettin, Andrea Maria
    Piroddi, Luigi
    Rocco, Paolo
    [J]. IFAC PAPERSONLINE, 2018, 51 (11): : 194 - 199
  • [48] KoPro - Configurable Process Chains for Human-Robot Collaborative Assembly
    Kranz, Philipp
    Schirmer, Fabian
    Mueller, Adrian
    Ali, Usama
    Schmitt, Jan
    Kaupp, Tobias
    [J]. COMPANION OF THE 2024 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, HRI 2024 COMPANION, 2024, : 1287 - 1289
  • [49] Allowable Maximum Safe Velocity Control based on Human-Robot Distance for Collaborative Robot
    Shin, Heonseop
    Seo, Kwang
    Rhim, Sungsoo
    [J]. 2018 15TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS (UR), 2018, : 401 - 405
  • [50] A unified multimodal control framework for human-robot interaction
    Cherubini, Andrea
    Passama, Robin
    Fraisse, Philippe
    Crosnier, Andre
    [J]. ROBOTICS AND AUTONOMOUS SYSTEMS, 2015, 70 : 106 - 115