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Conceptualizing Embodied Automation to Increase Transfer of Tacit knowledge in the Learning Factory
Chalmers University of Technology, Gothenburg, Sweden.
Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system. (User Centred Product Design)ORCID-id: 0000-0002-8369-5471
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (Interaction Lab (ILAB))ORCID-id: 0000-0002-6568-9342
Insert Coin, Gothenburg, Sweden.ORCID-id: 0000-0003-0943-6022
Vise andre og tillknytning
2018 (engelsk)Inngår i: "Theory, Research and Innovation in Applications": 9th International Conference on Intelligent Systems 2018 (IS’18) / [ed] Ricardo Jardim-Gonçalves, João Pedro Mendonça, Vladimir Jotsov, Maria Marques, João Martins, Robert Bierwolf, IEEE, 2018, s. 358-364, artikkel-id 8710482Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

This paper will discuss how cooperative agent-based systems, deployed with social skills and embodied automation features, can be used to interact with the operators in order to facilitate sharing of tacit knowledge and its later conversion into explicit knowledge. The proposal is to combine social software robots (softbots) with industrial collaborative robots (co-bots) to create a digital apprentice for experienced operators in human- robot collaboration workstations. This is to address the problem within industry that experienced operators have difficulties in explaining how they perform their tasks and later, how to turn this procedural knowledge (knowhow) into instructions to be shared among other operators. By using social softbots and co-bots, as cooperative agents with embodied automation features, we think we can facilitate the ‘externalization’ of procedural knowledge in human-robot interaction(s). This enabled by the capabilities of social cooperative agents with embodied automation features of continuously learning by looking over the shoulder of the operators, and documenting and collaborating with them in a non-intrusive way as they perform their daily tasks. 

sted, utgiver, år, opplag, sider
IEEE, 2018. s. 358-364, artikkel-id 8710482
Serie
IEEE Intelligent Systems, ISSN 1541-1672, E-ISSN 1941-1294
Emneord [en]
Embodied Automation, Agent-based Systems, Robot Systems, Collaborative Robots, Co-Bots, Software Robots, Softbots, Social Robots, Knowledge, Transfer, Tacit, Knowledge, Game-based, Activities, Motivation
HSV kategori
Forskningsprogram
Användarcentrerad produktdesign; Interaction Lab (ILAB); INF202 Virtual Ergonomics; INF302 Autonoma intelligenta system
Identifikatorer
URN: urn:nbn:se:his:diva-16264DOI: 10.1109/IS.2018.8710482ISI: 000469337900052Scopus ID: 2-s2.0-85065958046ISBN: 978-1-5386-7097-2 (digital)ISBN: 978-1-5386-7098-9 (tryckt)OAI: oai:DiVA.org:his-16264DiVA, id: diva2:1252428
Konferanse
2018 International Conference on Intelligent Systems (IS), Funchal - Madeira, Portugal, September 25-27 2018
Merknad

2018 Intelligent Systems: Theory, Research and Innovation in Applications, Madeira Island, Portugal 25-27 September 2018

Tilgjengelig fra: 2018-10-01 Laget: 2018-10-01 Sist oppdatert: 2020-01-08bibliografisk kontrollert

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