A connective framework to minimize the anxiety of collaborative Cyber-Physical System.
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| Title: | A connective framework to minimize the anxiety of collaborative Cyber-Physical System. |
|---|---|
| Authors: | Islam, Syed Osama Bin1 (AUTHOR) osama_bin@yahoo.com, Lughmani, Waqas Akbar1 (AUTHOR), Qureshi, Waqar S.2,3 (AUTHOR), Khalid, Azfar4 (AUTHOR) |
| Source: | International Journal of Computer Integrated Manufacturing. Apr2024, Vol. 37 Issue 4, p454-472. 19p. |
| Subjects: | Cyber physical systems, Factory safety, Artificial intelligence, Psychological safety, Logic design |
| Abstract: | The role of Cyber-Physical systems (CPS) is well recognized in the context of Industry 4.0, which consists of human operators working with machines/robots. The interactions among them can be quite demanding in terms of cognitive resources. Existing systems do not yet consider the psychological aspects of safety in the domain. This lack can lead to hazardous situations, thus compromising the performance of the working system. This work proposes a connective decision-making framework for a flexible CPS, which can quickly respond to dynamic changes and be resilient to emergent hazards. First, Anxiety is defined and categorized for expected/unforeseen situations that a CPS could encounter through historical data using the Ishikawa method. Second, visual cues are used to gather the CPS's current state (such as human pose and object identification). Third, a mathematical model is developed using Mixed-integer programming (MIP) to allocate optimal resources, to tackle high-impact situations generating Anxiety. Finally, the logic is designed for an effective counter-mechanism to mitigate Anxiety. The proposed method was tested on a realistic industrial scenario incorporating a collaborative CPS. The results demonstrated that the proposed method improves the decision-making of a CPS facing a complex scenario, ensures physical safety, and effectively enhances the human-machine team's productivity. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Computer Integrated Manufacturing is the property of Taylor & Francis Ltd 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.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 176294535 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A connective framework to minimize the anxiety of collaborative Cyber-Physical System. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Islam%2C+Syed+Osama+Bin%22">Islam, Syed Osama Bin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> osama_bin@yahoo.com</i><br /><searchLink fieldCode="AR" term="%22Lughmani%2C+Waqas+Akbar%22">Lughmani, Waqas Akbar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qureshi%2C+Waqar+S%2E%22">Qureshi, Waqar S.</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Khalid%2C+Azfar%22">Khalid, Azfar</searchLink><relatesTo>4</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Computer+Integrated+Manufacturing%22">International Journal of Computer Integrated Manufacturing</searchLink>. Apr2024, Vol. 37 Issue 4, p454-472. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cyber+physical+systems%22">Cyber physical systems</searchLink><br /><searchLink fieldCode="DE" term="%22Factory+safety%22">Factory safety</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+safety%22">Psychological safety</searchLink><br /><searchLink fieldCode="DE" term="%22Logic+design%22">Logic design</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The role of Cyber-Physical systems (CPS) is well recognized in the context of Industry 4.0, which consists of human operators working with machines/robots. The interactions among them can be quite demanding in terms of cognitive resources. Existing systems do not yet consider the psychological aspects of safety in the domain. This lack can lead to hazardous situations, thus compromising the performance of the working system. This work proposes a connective decision-making framework for a flexible CPS, which can quickly respond to dynamic changes and be resilient to emergent hazards. First, Anxiety is defined and categorized for expected/unforeseen situations that a CPS could encounter through historical data using the Ishikawa method. Second, visual cues are used to gather the CPS's current state (such as human pose and object identification). Third, a mathematical model is developed using Mixed-integer programming (MIP) to allocate optimal resources, to tackle high-impact situations generating Anxiety. Finally, the logic is designed for an effective counter-mechanism to mitigate Anxiety. The proposed method was tested on a realistic industrial scenario incorporating a collaborative CPS. The results demonstrated that the proposed method improves the decision-making of a CPS facing a complex scenario, ensures physical safety, and effectively enhances the human-machine team's productivity. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Computer Integrated Manufacturing is the property of Taylor & Francis Ltd 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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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/0951192X.2022.2163294 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 454 Subjects: – SubjectFull: Cyber physical systems Type: general – SubjectFull: Factory safety Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Psychological safety Type: general – SubjectFull: Logic design Type: general Titles: – TitleFull: A connective framework to minimize the anxiety of collaborative Cyber-Physical System. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Islam, Syed Osama Bin – PersonEntity: Name: NameFull: Lughmani, Waqas Akbar – PersonEntity: Name: NameFull: Qureshi, Waqar S. – PersonEntity: Name: NameFull: Khalid, Azfar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 0951192X Numbering: – Type: volume Value: 37 – Type: issue Value: 4 Titles: – TitleFull: International Journal of Computer Integrated Manufacturing Type: main |
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