@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 T. Ogata and S. Sugano",
year = "2003",
month = jan,
day = "1",
doi = "10.1109/AIM.2003.1225484",
language = "English",
series = "IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1031--1036",
booktitle = "Proceedings - 2003 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2003",
note = "2003 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2003 ; Conference date: 20-07-2003 Through 24-07-2003",
}