Lea M. Daling, Stefan Schröder, Max Haberstroh, F. Hees
{"title":"Challenges and Requirements for Employee Qualification in the Context of Human-Robot-Collaboration","authors":"Lea M. Daling, Stefan Schröder, Max Haberstroh, F. Hees","doi":"10.1109/ARSO.2018.8625850","DOIUrl":null,"url":null,"abstract":"The introduction of new forms of work within the ongoing development of Industry 4.0 and its technical implementation requires rethinking the concept of employee qualification. Since new technology, skills and competencies in future production are particularly related to increasing interaction with machines such as human-robot-collaboration, a closer investigation of qualification needs in this field is implicated. Based on literature review, this paper presents an overview on current approaches of employee qualification in the context of Industry 4.0 in order to deduce qualification needs in the domain of human-robot-collaboration. Considering the needs of different target groups and their specific tasks, the transferability of the qualification setting as well as the integration of new technology (such as Augmented and Virtual Reality), a theoretical framework is provided to systematically investigate different conditions of qualification in an experimental setting.","PeriodicalId":441318,"journal":{"name":"2018 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARSO.2018.8625850","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
The introduction of new forms of work within the ongoing development of Industry 4.0 and its technical implementation requires rethinking the concept of employee qualification. Since new technology, skills and competencies in future production are particularly related to increasing interaction with machines such as human-robot-collaboration, a closer investigation of qualification needs in this field is implicated. Based on literature review, this paper presents an overview on current approaches of employee qualification in the context of Industry 4.0 in order to deduce qualification needs in the domain of human-robot-collaboration. Considering the needs of different target groups and their specific tasks, the transferability of the qualification setting as well as the integration of new technology (such as Augmented and Virtual Reality), a theoretical framework is provided to systematically investigate different conditions of qualification in an experimental setting.