2021
DOI: 10.3389/frobt.2021.659319
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Human–Co-Bot Interaction and Neuroergonomics: Co-Botic vs. Robotic Systems

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Cited by 9 publications
(5 citation statements)
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“…Remote education of surgical procedures seems just about impossible. 16,17 Undergraduate medical students suffered a lot due to lockdowns. They had no interaction with peers, no clearing of doubts, and were not being provided with adequate learning material as the elearning modality was new to students as well as to the teachers.…”
Section: Discussionmentioning
confidence: 99%
“…Remote education of surgical procedures seems just about impossible. 16,17 Undergraduate medical students suffered a lot due to lockdowns. They had no interaction with peers, no clearing of doubts, and were not being provided with adequate learning material as the elearning modality was new to students as well as to the teachers.…”
Section: Discussionmentioning
confidence: 99%
“…Rather than fully automating the process, the complexity of battery disassembly lends itself more readily to robots and humans working side by side. This has led to the creation of force‐sensitive “co‐bot” robotic arms (Cassioli et al, 2021; Rujanavech et al, 2016; Wegener et al, 2015). These co‐bots can be used to complete some simple tasks, for example, unscrewing a bolt.…”
Section: Current Scenario For Battery Dismantlingmentioning
confidence: 99%
“…In particular, neuroergonomics (Mehta and Parasuraman, 2013 )—especially computational neuroergonomics (Farahani et al, 2019 )—can advantageously exploit twinning for understanding how the human nervous system works in real contexts (Cheng et al, 2022 ), and improving the design of any item interacting with it. This is certainly true about neuroergonomics in HRI contexts (Cassioli et al, 2021 ) for applications like monitoring motor control difficulties (Memar and Esfahani, 2018 ), providing robots with adaptive features (Lim et al, 2021 ), and improving brain-robot interfaces (Mao et al, 2019 ). Overall, the exploitation of DTs in this field can inherit the corpus of knowledge in neuroscience, especially when human-machine interactions are investigated (Gaggioli, 2018 ; Ramos et al, 2021 ).…”
Section: Neuroergonomic Twinning Of Hri Systemsmentioning
confidence: 99%