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Teaming with industrial cobots: A socio‐technical perspective on safety analysis.

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Název: Teaming with industrial cobots: A socio‐technical perspective on safety analysis.
Autoři: Adriaensen, A., Costantino, F., Di Gravio, G., Patriarca, R.
Zdroj: Human Factors & Ergonomics in Manufacturing & Service Industries; Mar2022, Vol. 32 Issue 2, p173-198, 26p
Témata: SYSTEMS theory, KINETIC energy, FUNCTIONAL analysis, SOCIOTECHNICAL systems
Abstrakt: Collaborative human–machine interaction will be progressively intensified in industrial applications. The aim of this article is to examine current approaches to cobot safety by showing that these approaches can additionally benefit from systems thinking methods. The first part of this article covers a narrative literature review on predominantly techno‐centric robot safety approaches, with a strong focus on containing kinetic energy and ensuring separation with humans. The second part introduces systems thinking methods to analyze a socio‐technical perspective on cobot safety, including joint cognitive systems and distributed cognition perspectives. This explorative research dimension is expected to overcome an overly narrow interpretation of safety issues, anticipating the challenges ahead in ever more complex cobot applications. This article embraces a socio‐technical perspective to explore the potential of Joint Cognitive Systems to manage risk and safety in cobot applications. Three systemic safety analysis approaches are presented and tested with a demonstrator case study concerning their feasibility for cobot applications: System‐Theoretic Accident Model and Processes (STAMP); Functional Resonance Analysis Method (FRAM); and Event Analysis of Systemic Teamwork (EAST). These methods each provide interesting extensions to complement the traditional understanding of risk as required by current and future industrial cobot implementations. The power of systemic methods for safer and more efficient cobot operations lies in revealing the distributed and emergent result from joint actions and overcoming the reductionist view from individual failures or single agent responsibilities. The safe operation of cobot applications can only be achieved through alignment of design, training, and operation of such applications. [ABSTRACT FROM AUTHOR]
Copyright of Human Factors & Ergonomics in Manufacturing & Service Industries is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Databáze: Biomedical Index
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  Data: Teaming with industrial cobots: A socio‐technical perspective on safety analysis.
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  Data: <searchLink fieldCode="AR" term="%22Adriaensen%2C+A%2E%22">Adriaensen, A.</searchLink><br /><searchLink fieldCode="AR" term="%22Costantino%2C+F%2E%22">Costantino, F.</searchLink><br /><searchLink fieldCode="AR" term="%22Di+Gravio%2C+G%2E%22">Di Gravio, G.</searchLink><br /><searchLink fieldCode="AR" term="%22Patriarca%2C+R%2E%22">Patriarca, R.</searchLink>
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  Data: Human Factors & Ergonomics in Manufacturing & Service Industries; Mar2022, Vol. 32 Issue 2, p173-198, 26p
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  Data: <searchLink fieldCode="DE" term="%22SYSTEMS+theory%22">SYSTEMS theory</searchLink><br /><searchLink fieldCode="DE" term="%22KINETIC+energy%22">KINETIC energy</searchLink><br /><searchLink fieldCode="DE" term="%22FUNCTIONAL+analysis%22">FUNCTIONAL analysis</searchLink><br /><searchLink fieldCode="DE" term="%22SOCIOTECHNICAL+systems%22">SOCIOTECHNICAL systems</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Collaborative human–machine interaction will be progressively intensified in industrial applications. The aim of this article is to examine current approaches to cobot safety by showing that these approaches can additionally benefit from systems thinking methods. The first part of this article covers a narrative literature review on predominantly techno‐centric robot safety approaches, with a strong focus on containing kinetic energy and ensuring separation with humans. The second part introduces systems thinking methods to analyze a socio‐technical perspective on cobot safety, including joint cognitive systems and distributed cognition perspectives. This explorative research dimension is expected to overcome an overly narrow interpretation of safety issues, anticipating the challenges ahead in ever more complex cobot applications. This article embraces a socio‐technical perspective to explore the potential of Joint Cognitive Systems to manage risk and safety in cobot applications. Three systemic safety analysis approaches are presented and tested with a demonstrator case study concerning their feasibility for cobot applications: System‐Theoretic Accident Model and Processes (STAMP); Functional Resonance Analysis Method (FRAM); and Event Analysis of Systemic Teamwork (EAST). These methods each provide interesting extensions to complement the traditional understanding of risk as required by current and future industrial cobot implementations. The power of systemic methods for safer and more efficient cobot operations lies in revealing the distributed and emergent result from joint actions and overcoming the reductionist view from individual failures or single agent responsibilities. The safe operation of cobot applications can only be achieved through alignment of design, training, and operation of such applications. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Human Factors & Ergonomics in Manufacturing & Service Industries is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/hfm.20939
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        Text: English
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      – SubjectFull: SYSTEMS theory
        Type: general
      – SubjectFull: KINETIC energy
        Type: general
      – SubjectFull: FUNCTIONAL analysis
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      – SubjectFull: SOCIOTECHNICAL systems
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              M: 03
              Text: Mar2022
              Type: published
              Y: 2022
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