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

Y. Hayakawa, T. Ogata, S. Sugano

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 publicationProceedings - 2003 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1031-1036
Number of pages6
ISBN (Electronic)0780377591
DOIs
Publication statusPublished - 2003 Jan 1
Event2003 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2003 - Kobe, Japan
Duration: 2003 Jul 202003 Jul 24

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume2

Other

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

Keywords

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

ASJC Scopus subject areas

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

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  • Cite this

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