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Symbiotic human-robot collaborative assembly
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.ORCID iD: 0000-0001-8679-8049
Case Western Reserve Univ, Dept Mech & Aerosp Engn, Cleveland, OH 44106 USA..
Hungarian Acad Sci, Inst Comp Sci & Control, Budapest, Hungary.;Budapest Univ Technol & Econ, Dept Mfg Sci & Engn, Budapest, Hungary..
Tech Univ, Inst Machine Tools & Factory Management, Berlin, Germany.;Fraunhofer Inst Prod Syst & Design Technol, Berlin, Germany..
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2019 (English)In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 68, no 2, p. 701-726Article in journal (Refereed) Published
Abstract [en]

In human-robot collaborative assembly, robots are often required to dynamically change their pre-planned tasks to collaborate with human operators in a shared workspace. However, the robots used today are controlled by pre-generated rigid codes that cannot support effective human-robot collaboration. In response to this need, multi-modal yet symbiotic communication and control methods have been a focus in recent years. These methods include voice processing, gesture recognition, haptic interaction, and brainwave perception. Deep learning is used for classification, recognition and context awareness identification. Within this context, this keynote provides an overview of symbiotic human-robot collaborative assembly and highlights future research directions. 2019 Published by Elsevier Ltd on behalf of CIRP.

Place, publisher, year, edition, pages
ELSEVIER , 2019. Vol. 68, no 2, p. 701-726
Keywords [en]
Assembly, Robot, Human-robot collaboration
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-257832DOI: 10.1016/j.cirp.2019.05.002ISI: 000481657600005Scopus ID: 2-s2.0-85066821991OAI: oai:DiVA.org:kth-257832DiVA, id: diva2:1348839
Note

QC 20190905

Available from: 2019-09-05 Created: 2019-09-05 Last updated: 2019-09-05Bibliographically approved

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Wang, LihuiWang, Xi Vincent

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