Development of Advanced Cellular Manufacturing System with Human-Robot Collaboration-Assessment of Mental Strain on Human Operators Induced by the Assembly Support

被引：0
|
作者：
Kato, Ryu [1 ]
Fujita, Marina [2 ]
Arai, Tamio [2 ]
机构：
[1] Univ Electrocommun, Tokyo 1138656, Japan
[2] Univ Tokyo, Tokyo 1138656, Japan
来源：
2010 IEEE RO-MAN | 2010年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Even if a cellular manufacturing system is robot assisted with assembly support, the main operator is human. A system designer cannot therefore ignore the mental strain experienced by the operator as a result of improper assembly support. In this paper, authors analyzed operators' mental strain induced by physical and informational support in an advanced cellular manufacturing system with human-robot collaboration using physiological parameters related to cognition and emotion. Our results showed that higher speeds of an approaching robot's motion and closer distances between human operator and robot increase mental strain related to emotion, while augmenting text instruction with voice guidance and optical instruction increase mental strain related to cognition and emotion.
引用
收藏
页码：355 / 360
页数：6
相关论文
共 46 条
  • [31] Mutual trust-based subtask allocation for human-robot collaboration in flexible lightweight assembly in manufacturing
    Rahman, S. M. Mizanoor
    Wang, Yue
    MECHATRONICS, 2018, 54 : 94 - 109
  • [32] Dynamic reconfiguration optimization of intelligent manufacturing system with human-robot collaboration based on digital twin
    Zhu, Qizhang
    Huang, Sihan
    Wang, Guoxin
    Moghaddam, Shokraneh K.
    Lu, Yuqian
    Yan, Yan
    JOURNAL OF MANUFACTURING SYSTEMS, 2022, 65 : 330 - 338
  • [33] BARI: An Affordable Brain-Augmented Reality Interface to Support Human-Robot Collaboration in Assembly Tasks
    Sanna, Andrea
    Manuri, Federico
    Fiorenza, Jacopo
    De Pace, Francesco
    INFORMATION, 2022, 13 (10)
  • [34] Dynamic reconfiguration optimization of intelligent manufacturing system with human-robot collaboration based on digital twin
    Zhu, Qizhang
    Huang, Sihan
    Wang, Guoxin
    Moghaddam, Shokraneh K.
    Lu, Yuqian
    Yan, Yan
    Journal of Manufacturing Systems, 2022, 65 : 330 - 338
  • [35] Remote human-robot collaboration: A cyber-physical system application for hazard manufacturing environment
    Liu, Hongyi
    Wang, Lihui
    JOURNAL OF MANUFACTURING SYSTEMS, 2020, 54 (54) : 24 - 34
  • [36] SYSTEM STATE MONITORING TO FACILITATE SAFE AND EFFICIENT HUMAN-ROBOT COLLABORATION IN HYBRID ASSEMBLY CELLS
    Morato, Carlos W.
    Kaipa, Krishnanand N.
    Gupta, Satyandra K.
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2017, VOL 1, 2017,
  • [37] A new XR-based human-robot collaboration assembly system based on industrial metaverse
    Xie, Jiacheng
    Liu, Yali
    Wang, Xuewen
    Fang, Shukai
    Liu, Shuguang
    JOURNAL OF MANUFACTURING SYSTEMS, 2024, 74 : 949 - 964
  • [38] Development of a Neuroergonomic Assessment for the Evaluation of Mental Workload in an Industrial Human-Robot Interaction Assembly Task: A Comparative Case Study
    Caiazzo, Carlo
    Savkovic, Marija
    Pusica, Milos
    Milojevic, Djordje
    Leva, Maria Chiara
    Djapan, Marko
    MACHINES, 2023, 11 (11)
  • [39] The decision-making framework for assembly tasks planning in human-robot collaborated manufacturing system
    Ren, Weibo
    Yang, Xiaonan
    Yan, Yan
    Hu, Yaoguang
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2023, 36 (02) : 289 - 307
  • [40] Eye-tracking support for analyzing human factors in human-robot collaboration during repetitive long-duration assembly processes
    Gervasi, Riccardo
    Capponi, Matteo
    Mastrogiacomo, Luca
    Franceschini, Fiorenzo
    PRODUCTION ENGINEERING-RESEARCH AND DEVELOPMENT, 2024, : 47 - 64
12345