Flexible assembly work cooperation based on work state identifications by a self-organizing map

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    This study presents a method of realizing flexible assembly work cooperation in cases where neither the assembly process, nor the final form of the completed task is pre-defined in advance. To realize such systems, there exists an issue of identifying work states during the assembly, and determine when and what kind of support is necessary. As an approach of solving such issues, identifying the work states from a work model built by self-organizing assembly motions of human is taken. Examples of the work state identifications and a support system, which judges the situational necessity of support and selects whether to hand out or holds assembly parts are shown. The support is carried out based on the work states identified by the self-organized map. Experiments indicate that work state identification by a self-organizing map is effective in flexibly cooperating with human during assembly work.

    Original languageEnglish
    Title of host publicationIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1031-1036
    Number of pages6
    Volume2
    ISBN (Print)0780377591
    DOIs
    Publication statusPublished - 2003
    Event2003 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2003 - Kobe, Japan
    Duration: 2003 Jul 202003 Jul 24

    Other

    Other2003 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2003
    CountryJapan
    CityKobe
    Period03/7/2003/7/24

    Fingerprint

    Self organizing maps
    Experiments

    Keywords

    • Anthropometry
    • Assembly systems
    • Biological system modeling
    • Data mining
    • Humans
    • Mechanical engineering
    • Robotic assembly
    • Robots
    • Transportation
    • Vehicles

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Control and Systems Engineering
    • Computer Science Applications
    • Software

    Cite this

    Hayakawa, Y., Ogata, T., & Sugano, S. (2003). Flexible assembly work cooperation based on work state identifications by a self-organizing map. In IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM (Vol. 2, pp. 1031-1036). [1225484] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AIM.2003.1225484

    Flexible assembly work cooperation based on work state identifications by a self-organizing map. / Hayakawa, Y.; Ogata, Tetsuya; Sugano, Shigeki.

    IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM. Vol. 2 Institute of Electrical and Electronics Engineers Inc., 2003. p. 1031-1036 1225484.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Hayakawa, Y, Ogata, T & Sugano, S 2003, Flexible assembly work cooperation based on work state identifications by a self-organizing map. in IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM. vol. 2, 1225484, Institute of Electrical and Electronics Engineers Inc., pp. 1031-1036, 2003 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2003, Kobe, Japan, 03/7/20. https://doi.org/10.1109/AIM.2003.1225484
    Hayakawa Y, Ogata T, Sugano S. Flexible assembly work cooperation based on work state identifications by a self-organizing map. In IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM. Vol. 2. Institute of Electrical and Electronics Engineers Inc. 2003. p. 1031-1036. 1225484 https://doi.org/10.1109/AIM.2003.1225484
    Hayakawa, Y. ; Ogata, Tetsuya ; Sugano, Shigeki. / Flexible assembly work cooperation based on work state identifications by a self-organizing map. IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM. Vol. 2 Institute of Electrical and Electronics Engineers Inc., 2003. pp. 1031-1036
    @inproceedings{429b2bba45294dec8a517a35b04e1353,
    title = "Flexible assembly work cooperation based on work state identifications by a self-organizing map",
    abstract = "This study presents a method of realizing flexible assembly work cooperation in cases where neither the assembly process, nor the final form of the completed task is pre-defined in advance. To realize such systems, there exists an issue of identifying work states during the assembly, and determine when and what kind of support is necessary. As an approach of solving such issues, identifying the work states from a work model built by self-organizing assembly motions of human is taken. Examples of the work state identifications and a support system, which judges the situational necessity of support and selects whether to hand out or holds assembly parts are shown. The support is carried out based on the work states identified by the self-organized map. Experiments indicate that work state identification by a self-organizing map is effective in flexibly cooperating with human during assembly work.",
    keywords = "Anthropometry, Assembly systems, Biological system modeling, Data mining, Humans, Mechanical engineering, Robotic assembly, Robots, Transportation, Vehicles",
    author = "Y. Hayakawa and Tetsuya Ogata and Shigeki Sugano",
    year = "2003",
    doi = "10.1109/AIM.2003.1225484",
    language = "English",
    isbn = "0780377591",
    volume = "2",
    pages = "1031--1036",
    booktitle = "IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM",
    publisher = "Institute of Electrical and Electronics Engineers Inc.",

    }

    TY - GEN

    T1 - Flexible assembly work cooperation based on work state identifications by a self-organizing map

    AU - Hayakawa, Y.

    AU - Ogata, Tetsuya

    AU - Sugano, Shigeki

    PY - 2003

    Y1 - 2003

    N2 - This study presents a method of realizing flexible assembly work cooperation in cases where neither the assembly process, nor the final form of the completed task is pre-defined in advance. To realize such systems, there exists an issue of identifying work states during the assembly, and determine when and what kind of support is necessary. As an approach of solving such issues, identifying the work states from a work model built by self-organizing assembly motions of human is taken. Examples of the work state identifications and a support system, which judges the situational necessity of support and selects whether to hand out or holds assembly parts are shown. The support is carried out based on the work states identified by the self-organized map. Experiments indicate that work state identification by a self-organizing map is effective in flexibly cooperating with human during assembly work.

    AB - This study presents a method of realizing flexible assembly work cooperation in cases where neither the assembly process, nor the final form of the completed task is pre-defined in advance. To realize such systems, there exists an issue of identifying work states during the assembly, and determine when and what kind of support is necessary. As an approach of solving such issues, identifying the work states from a work model built by self-organizing assembly motions of human is taken. Examples of the work state identifications and a support system, which judges the situational necessity of support and selects whether to hand out or holds assembly parts are shown. The support is carried out based on the work states identified by the self-organized map. Experiments indicate that work state identification by a self-organizing map is effective in flexibly cooperating with human during assembly work.

    KW - Anthropometry

    KW - Assembly systems

    KW - Biological system modeling

    KW - Data mining

    KW - Humans

    KW - Mechanical engineering

    KW - Robotic assembly

    KW - Robots

    KW - Transportation

    KW - Vehicles

    UR - http://www.scopus.com/inward/record.url?scp=78751470052&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=78751470052&partnerID=8YFLogxK

    U2 - 10.1109/AIM.2003.1225484

    DO - 10.1109/AIM.2003.1225484

    M3 - Conference contribution

    SN - 0780377591

    VL - 2

    SP - 1031

    EP - 1036

    BT - IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

    PB - Institute of Electrical and Electronics Engineers Inc.

    ER -