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Design and Application of Collaborative Robotics

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: closed (15 February 2023) | Viewed by 6048

Special Issue Editors


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Guest Editor
Faculty of Science and Technology, Free University of Bozen-Bolzano, 39100 Bolzano, Italy
Interests: human–robot collaboration; safety; ergonomics; collaborative assembly systems
Special Issues, Collections and Topics in MDPI journals
Department of Engineering "Enzo Ferrari", Università degli Studi di Modena e Reggio Emilia, 41121 Modena, Italy
Interests: robotics; assembly; production engineering; simulation

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Guest Editor
Department of Industrial and Manufacturing Engineering, University of Malta, Imsida, MSD 2203, Malta
Interests: manufacturing systems; digital factory; collaborative robotics; Industry 4.0

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Guest Editor
Department of Psychology "Renzo Canestrari", University of Bologna, 33-40126 Bologna, Italy
Interests: psychological assessment; behavioral analysis; human-robot interaction; cognitive ergonomics

Special Issue Information

Dear Colleagues,

Collaborative robotics is a key enabling technology of Industry 4.0 and represents a way to effectively implement cyber-physical systems on the shop floor. At present, the industrial robot market is showing continuous growth, and collaborative robots are becoming an important element flexible of manufacturing systems. Human–robot interaction, and in particular human–robot collaboration, are the forms by which collaborative robotics can be implemented in industry. These usually allow and require the sharing of tasks and workspaces between the operator and the robotic system without physical barriers in a fenceless cell to achieve common production goals. In that regard, collaborative robots should not only increase flexibility, but also improve operators' work conditions and wellbeing by helping them in unsafe and less-ergonomic activities, acting as assistance systems. On the other hand, they can also improve the performance of the manufacturing system by enhancing productivity and process quality. Collaborative robotics introduces many advantages but also challenges, especially from the occupational safety and ergonomics perspective, as well as from the system design and management point of view. Companies need support to properly design and implement collaborative robots and related systems by considering both the advantages and disadvantages of human and robot resources.

Therefore, the general target of the present Special Issue is to contribute to the expansion of knowledge in this field, promoting research focused on the design and application of safe, human-centered, and efficient collaborative robotics in industrial settings.

Dr. Luca Gualtieri
Dr. Fabio Pini
Dr. Emmanuel Francalanza
Dr. Federico Fraboni
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • industrial collaborative robotics
  • human-robot interaction
  • human-robot collaboration
  • manufacturing system
  • safety
  • ergonomics
  • human-centered design
  • Industry 4.0

Published Papers (2 papers)

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Research

14 pages, 1926 KiB  
Article
Assessing the Relationship between Cognitive Workload, Workstation Design, User Acceptance and Trust in Collaborative Robots
by Tommaso Panchetti, Luca Pietrantoni, Gabriele Puzzo, Luca Gualtieri and Federico Fraboni
Appl. Sci. 2023, 13(3), 1720; https://doi.org/10.3390/app13031720 - 29 Jan 2023
Cited by 14 | Viewed by 2914
Abstract
Collaborative robots are revolutionising the manufacturing industry and the way workers perform their tasks. When designing shared workspaces between robots and humans, human factors and ergonomics are often overlooked. This study assessed the relationship between cognitive workload, workstation design, user acceptance and trust [...] Read more.
Collaborative robots are revolutionising the manufacturing industry and the way workers perform their tasks. When designing shared workspaces between robots and humans, human factors and ergonomics are often overlooked. This study assessed the relationship between cognitive workload, workstation design, user acceptance and trust in collaborative robots. We combined subjective and objective data to evaluate the cognitive workload during an assembly task in three different scenarios in which we manipulated various features of the workstation and interaction modalities. Our results showed that participants experienced a reduction in cognitive workload in each of the three trials, indicating an improvement in cognitive performance. Additionally, we found that user acceptance predicted perceived stress across the trials but did not significantly impact the cognitive workload. Trust was not found to moderate the relationship between cognitive workload and perceived stress. This study has the potential to make a significant contribution to the field of collaborative assembly systems by providing valuable insights and helping to bridge the gap between researchers and practitioners. This study can potentially impact companies looking to improve safety, productivity and efficiency. Full article
(This article belongs to the Special Issue Design and Application of Collaborative Robotics)
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20 pages, 4929 KiB  
Article
Novel Approach Using Risk Analysis Component to Continuously Update Collaborative Robotics Applications in the Smart, Connected Factory Model
by Matteo Pantano, Yurii Pavlovskyi, Erik Schulenburg, Konstantinos Traganos, Seyedamir Ahmadi, Daniel Regulin, Dongheui Lee and José Saenz
Appl. Sci. 2022, 12(11), 5639; https://doi.org/10.3390/app12115639 - 1 Jun 2022
Cited by 6 | Viewed by 1917
Abstract
Building on the idea of Industry 4.0, new models of the highly connected factory that leverage factory-generated data to introduce cost-effective automation and involve the human worker for creating higher added value are possible. Within this context, collaborative robots are becoming more common [...] Read more.
Building on the idea of Industry 4.0, new models of the highly connected factory that leverage factory-generated data to introduce cost-effective automation and involve the human worker for creating higher added value are possible. Within this context, collaborative robots are becoming more common in industry. However, promises regarding flexibility cannot be satisfied due to the challenging process of ensuring human safety. This is because current regulations and standards require updates to the risk assessment for every change to the robotic application, including the parts involved, the robotic components, and the type of interaction within the workspace. This work presents a novel risk analysis software tool that was developed to support change management for adaptive collaborative robotic systems in the connected factory model. The main innovation of this work is the tool’s ability to automatically identify where changes have been made to components or processes within a specific application through its integration with a connected factory architecture. This allows a safety expert to easily see where updates to the risk assessment are required, helping them to maintain conformity with the CE marking process despite frequent changes. To evaluate the benefits of this tool, a user study was performed with an exemplary use-case from the SHOP4CF project. The results show that this newly developed technology for risk assessment has better usability and lower omission errors when compared to existing methods. Therefore, this study underlines the need for tools that can help safety engineers cope with changes in flexible robotics applications and reduce omission errors. Full article
(This article belongs to the Special Issue Design and Application of Collaborative Robotics)
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