“…Figure 2 shows the number of articles per country. Our results allow us to say that the country where more studies have been developed in this field is Italy [1,12,[27][28][29][30][31][32][33], followed by the USA [8,34], United Kingdom [18,35], France [11,31], and Greece [22,36]. In the rest of the countries, only one study per country was found.…”
Section: Resultsmentioning
confidence: 64%
“…This evidence is sustained by the fact that innovative research fields start from laboratory context and then are exploited to realworld context [39]. Regarding the Virtual Simulation context, five studies [16,30,31,36,37] were found, all of them related to physical ergonomics. This kind of context seems to be very appropriate for considering ergonomics requirements when designing and testing HRC configurations since it provides the opportunity to evaluate the feasibility of the process through different scenarios.…”
Section: Resultsmentioning
confidence: 95%
“…Another finding from our study is related to the ergonomics domain, namely physical or cognitive, and related to its ergonomic application, if offline or online (Figure 5). Sixteen [1,4,7,8,13,17,19,22,[27][28][29][30][31]36,37,40] of nineteen studies are related to physical ergonomics, while only six [11,32,34,35] are related to cognitive ergonomics. Regarding its application, only studies related to physical ergonomics presented an online application [1,12,18,22,33,38,40].…”
Section: Resultsmentioning
confidence: 99%
“…The robot's awareness of the human counterpart posture was acquired through wearable sensors [1,12,40] or vision-based systems [18,22]. The studies that implement physical ergonomic requirements in offline applications seem to address task allocation issues [4,8,30,36] or design and assessment of HRC solutions [16,19,[27][28][29]31,37].…”
There is a worldwide interest in implementing collaborative robots (Cobots) to reduce work-related Musculoskeletal Disorders (WMSD) risk. While prior work in this field has recognized the importance of considering Ergonomics & Human Factors (E&HF) in the design phase, most works tend to highlight workstations’ improvements due to Human-Robot Collaboration (HRC). Based on a literature review, the current study summarises studies where E&HF was considered a requirement rather than an output. In this article, the authors are interested in understanding the existing studies focused on Cobots’ implementation with ergonomic requirements, and the methods applied to design safer collaborative workstations. This review was performed in four prominent publications databases: Scopus, Web of Science, Pubmed, and Google Scholar, searching for the keywords ‘Collaborative robots’ or ‘Cobots’ or ‘HRC’ and ‘Ergonomics’ or ‘Human factors’. Based on the inclusion criterion, 20 articles were reviewed, and the main conclusions of each are provided. Additionally, the focus was given to the segmentation between studies considering E&HF during the design phase of HRC systems and studies applying E&HF in real-time on HRC systems. The results demonstrate the novelty of this topic, especially of the real-time applications of ergonomics as a requirement. Globally, the results of the reviewed studies showed the potential of E&HF requirements integrated into HRC systems as a relevant input for reducing WMSD risk.
“…Figure 2 shows the number of articles per country. Our results allow us to say that the country where more studies have been developed in this field is Italy [1,12,[27][28][29][30][31][32][33], followed by the USA [8,34], United Kingdom [18,35], France [11,31], and Greece [22,36]. In the rest of the countries, only one study per country was found.…”
Section: Resultsmentioning
confidence: 64%
“…This evidence is sustained by the fact that innovative research fields start from laboratory context and then are exploited to realworld context [39]. Regarding the Virtual Simulation context, five studies [16,30,31,36,37] were found, all of them related to physical ergonomics. This kind of context seems to be very appropriate for considering ergonomics requirements when designing and testing HRC configurations since it provides the opportunity to evaluate the feasibility of the process through different scenarios.…”
Section: Resultsmentioning
confidence: 95%
“…Another finding from our study is related to the ergonomics domain, namely physical or cognitive, and related to its ergonomic application, if offline or online (Figure 5). Sixteen [1,4,7,8,13,17,19,22,[27][28][29][30][31]36,37,40] of nineteen studies are related to physical ergonomics, while only six [11,32,34,35] are related to cognitive ergonomics. Regarding its application, only studies related to physical ergonomics presented an online application [1,12,18,22,33,38,40].…”
Section: Resultsmentioning
confidence: 99%
“…The robot's awareness of the human counterpart posture was acquired through wearable sensors [1,12,40] or vision-based systems [18,22]. The studies that implement physical ergonomic requirements in offline applications seem to address task allocation issues [4,8,30,36] or design and assessment of HRC solutions [16,19,[27][28][29]31,37].…”
There is a worldwide interest in implementing collaborative robots (Cobots) to reduce work-related Musculoskeletal Disorders (WMSD) risk. While prior work in this field has recognized the importance of considering Ergonomics & Human Factors (E&HF) in the design phase, most works tend to highlight workstations’ improvements due to Human-Robot Collaboration (HRC). Based on a literature review, the current study summarises studies where E&HF was considered a requirement rather than an output. In this article, the authors are interested in understanding the existing studies focused on Cobots’ implementation with ergonomic requirements, and the methods applied to design safer collaborative workstations. This review was performed in four prominent publications databases: Scopus, Web of Science, Pubmed, and Google Scholar, searching for the keywords ‘Collaborative robots’ or ‘Cobots’ or ‘HRC’ and ‘Ergonomics’ or ‘Human factors’. Based on the inclusion criterion, 20 articles were reviewed, and the main conclusions of each are provided. Additionally, the focus was given to the segmentation between studies considering E&HF during the design phase of HRC systems and studies applying E&HF in real-time on HRC systems. The results demonstrate the novelty of this topic, especially of the real-time applications of ergonomics as a requirement. Globally, the results of the reviewed studies showed the potential of E&HF requirements integrated into HRC systems as a relevant input for reducing WMSD risk.
“…Figure 1 Task-allocation model for the HRC system Figure 2 Task decomposition of a two-plate mold assembly (notation: FA -functional action) Figure 3 ANP network for agent preference [34] Figure 4 Structure of chromosome [34]…”
In this paper, we introduce a human-robot collaboration (HRC) mold assembly cell to cope with small-volume mold production and reduce the risk of musculoskeletal disorders (MSDs) on a human worker during manual mold assembly operation. Besides, the wide variety of types and weights of the mold components motivated us to design an HRC system that consists of two robots. Therefore, we propose two collaboration modes for HRC systems using two robots and develop a task-allocation model to demonstrate the application of these collaboration modes in the mold assembly. The task-allocation model assigns a task based on the task characteristics and capability of agents in the collaboration cell. First, we decompose the assembly operation into functional actions to analyze the characteristics of tasks. Then, we obtain the agent assignment preference based on task characteristics and capability of agents using the analytic network process. Finally, we apply the genetic algorithm in the final task allocation to minimize assembly time, use of a less capable agent, and ergonomic risk. This paper contributes to expanding the HRC system with two robots in the mold assembly to allow the execution of a greater diversity of tasks and improve the assembly time and MSD risk level for the human worker.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.