liu.seSearch for publications in DiVA
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Understanding situational and mode awareness for safe human‑robot collaboration: case studies on assembly applications
Linköpings universitet, Institutionen för ekonomisk och industriell utveckling, Maskinkonstruktion. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0001-9539-2163
Linköpings universitet, Institutionen för ekonomisk och industriell utveckling, Maskinkonstruktion. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0003-1646-5817
2019 (engelsk)Inngår i: Production Engineering, ISSN 0944-6524, E-ISSN 1863-7353, Vol. 13, nr 1, s. 1-9Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

In order for humans and robots to collaborate on an assembly line, safety of operations is a prerequisite. In this article, two assembly stations where a large industrial robots collaborate with humans will be analysed with the aim to 1. determine the characteristics of hazards associated with human-robot interaction and 2. design solutions that can mitigate risks associated with these hazards. To support the aim of this article, a literature review will attempt to characterize automation and detail the problems associated with human-automation interaction. The analysis points at situational awareness and mode-awareness as contributing factors to operator and process safety. These underlying mechanisms, if recognised by the risk assessment team as hazards, can mitigate risks of operator injury or production delays. This article details the function of visual and physical interfaces that allow operators to comprehend system-state in order to avoid undesirable situations

sted, utgiver, år, opplag, sider
Springer Berlin/Heidelberg, 2019. Vol. 13, nr 1, s. 1-9
Emneord [en]
Situational awareness, Mode awareness, Human-robot collaboration (HRC), Industrial safety
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-160304DOI: 10.1007/s11740-018-0868-2ISI: 000457944600001Scopus ID: 2-s2.0-85058656783OAI: oai:DiVA.org:liu-160304DiVA, id: diva2:1352080
Forskningsfinansiär
Vinnova, 2015-03722Tilgjengelig fra: 2019-09-17 Laget: 2019-09-17 Sist oppdatert: 2019-11-20bibliografisk kontrollert
Inngår i avhandling
1. On Safe Collaborative Assembly With Large Industrial Robots
Åpne denne publikasjonen i ny fane eller vindu >>On Safe Collaborative Assembly With Large Industrial Robots
2019 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

This thesis pertains to industrial safety in relation to human-robot collaboration. The aim is to enhance understanding of the nature of systems where large industrial robots collaborate with humans to complete assembly tasks. This understanding may support development and safe operations of future collaborative systems.

Industrial robots are widely used to automate manufacturing operations across several industries. The automotive industry is the largest user of robots and have identified robot-based automation as a strategy to improve efficiency in manufacturing operations.

Recently, a class of machines referred to as collaborative robots have been developed by robot manufacturers to support operators in assembly tasks. The use of these robots to support human workers in an industrial context are referred to as collaborative operations.

Presently, collaborative robots have limited reach and load carrying capacity compared to standard industrial robots. Large/standard industrial robots are widely used for applications such as welding or painting. They can, in principle support operators in assembly tasks as well.

Two laboratory demonstrators representing the final results from a series of research activities will be presented. They were developed to investigate issues related to personnel and process safety while working with large industrial robots in collaborative operations. The demonstrators were partially based on assembly workstations that are currently operational and they exemplify challenges faced by the automotive industry.

Demonstrator-based Research, a methodology for collaborative research that emphasizes development of demonstrators as a research tool, forms the rationale for carrying out research operations presented in this thesis. An evaluation of the laboratory demonstrators by industrial participants suggests an increased interest and confidence in collaborative operations with large robots. The demonstrators have served as a tentative platform for participants to identify and discuss manufacturing and safety challenges in relation to their organization.

A main outcome presented in this thesis relates to specifying requirements for introducing robots in a human-populated environment. Introducing robotic systems in new environments requires reconsideration of the nature of the hazards particular to the domain. An analysis of the laboratory demonstrators suggest that, in addition to hazards associated with normal functioning of the system, limitations in human cognition must be considered. These results will be exemplified and discussed in the context of situational and mode awareness. Additionally, a model of a collaborative workstation will be presented in terms of three constituents – workspace, tasks and interaction.

This is particularly significant considering the direction of present-day research aimed at introducing robots across various industries and working environments. In response to this trend, this thesis discusses the relevance of Interactive Research and its emphasis on joint learning that goes on between academic researchers and industrial participants as a valuable principle for collaborative research.

sted, utgiver, år, opplag, sider
Linköping: Linköping University Electronic Press, 2019. s. 79
Serie
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 2026
HSV kategori
Identifikatorer
urn:nbn:se:liu:diva-162134 (URN)10.3384/diss.diva-162134 (DOI)9789179299774 (ISBN)
Disputas
2019-12-13, C3, C-huset, Campus Valla, Linköping, 10:15 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2019-11-20 Laget: 2019-11-20 Sist oppdatert: 2019-11-20bibliografisk kontrollert

Open Access i DiVA

Understanding situational and mode awareness for safe human‑robot collaboration: case studies on assembly applications(1748 kB)19 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 1748 kBChecksum SHA-512
24006f702cb1e5fc1d8334ca89b1cf257c92ac9174e226c5efdafd9618aec6fa00d0c3a339c386384dc4d6111fd9d39e896038f6ba735590ae9354049d53555c
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekstScopus

Personposter BETA

Gopinath, VarunJohansen, Kerstin

Søk i DiVA

Av forfatter/redaktør
Gopinath, VarunJohansen, Kerstin
Av organisasjonen
I samme tidsskrift
Production Engineering

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 19 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 52 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf