2023
DOI: 10.1016/j.jmsy.2022.12.010
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Application of automation for in-line quality inspection, a zero-defect manufacturing approach

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Cited by 102 publications
(14 citation statements)
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“…In the presented research, we followed a user-centered approach while implementing and training two working memory architectures on an industrial RB-KAIROS + robot ( Robotnik Valencia, Spain, 2023 ): One of these architectures was based on GRU ( Cho et al, 2014 ), a commonly used state-of-the-art architecture, the other was based on WorkMATe ( Kruijne et al, 2021 ), a biologically-inspired alternative. Emphasizing the humans’ perspective on HRI, we considered potential users’ ideas and perceptions of robot navigation already before initiating the implementation and training processes as recommended by previous research (e.g., Mahmood et al, 2000 ; Ben Allouch et al, 2009 ; Schiffhauer et al, 2016 ; Bernotat and Eyssel, 2017a ; Diehl et al, 2017 ; Azamfirei et al, 2023b ; Psarommatis et al, 2023b ; Lacroix et al, 2023 ). This approach was innovative because, so far, only little attention has been paid to the humans’ perspective when robot working memory was implemented and trained.…”
Section: Discussionmentioning
confidence: 99%
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“…In the presented research, we followed a user-centered approach while implementing and training two working memory architectures on an industrial RB-KAIROS + robot ( Robotnik Valencia, Spain, 2023 ): One of these architectures was based on GRU ( Cho et al, 2014 ), a commonly used state-of-the-art architecture, the other was based on WorkMATe ( Kruijne et al, 2021 ), a biologically-inspired alternative. Emphasizing the humans’ perspective on HRI, we considered potential users’ ideas and perceptions of robot navigation already before initiating the implementation and training processes as recommended by previous research (e.g., Mahmood et al, 2000 ; Ben Allouch et al, 2009 ; Schiffhauer et al, 2016 ; Bernotat and Eyssel, 2017a ; Diehl et al, 2017 ; Azamfirei et al, 2023b ; Psarommatis et al, 2023b ; Lacroix et al, 2023 ). This approach was innovative because, so far, only little attention has been paid to the humans’ perspective when robot working memory was implemented and trained.…”
Section: Discussionmentioning
confidence: 99%
“…This could help to encounter the cause for possible resentments against robots and thus to enhance acceptance and comfort of HRI in shared environments. To really grasp the dynamics that underlie an efficient and comfortable HRI in various settings, however, we recommend a more detailed consideration of various groups of potential users (see also Azamfirei et al, 2023b ; Psarommatis et al, 2023b ). To illustrate, in our research, we opted for heterogeneous samples to avoid possible biases and to reflect a general view on HRI with an industrial robot that is equipped with human-aware robot navigation.…”
Section: Discussionmentioning
confidence: 99%
“…The creation and incorporation of efficient quality inspection techniques into AM processes, as well as any possible effects they may have on energy usage, should be the main areas of future study. Investigating in-process quality inspection methods might be very helpful since they might make it possible to see problems and take action before they result in component failure or further energy loss [204].…”
Section: Quality Inspection In Additive Manufacturingmentioning
confidence: 99%
“…, 2022). In manufacturing, automated product inspection tools built on AI are challenging traditional manual product quality assurance processes (CBInsight, 2022; Azamfirei et al. , 2023).…”
mentioning
confidence: 99%
“…In product and service development, AI has found applications, amongst others, in agriculture to improve irrigation and seeding (Rural Industries, 2016;Talaviya et al, 2020), medicine to improve diagnostic instrumentation (Choy et al, 2018;Davenport and Kalakota, 2019) and in care settings to assist individual support tasks (Loveys et al, 2022). In manufacturing, automated product inspection tools built on AI are challenging traditional manual product quality assurance processes (CBInsight, 2022;Azamfirei et al, 2023).…”
mentioning
confidence: 99%