Keshvarparast, Ali and Berti, Nicola and Chand, Saahil and Guidolin, Mattia and Lu, Yuqian and Battaia, Olga and Battini, Daria and Xu, Xun (2024) Ergonomic Design of Human-Robot Collaborative Workstation in the Era of Industry 5.0. [Data Collection]
Collection description
The increasing adoption of collaborative robots to support job execution in manufacturing has catalyzed companies' attention to safety and well-being issues. Sharing the human-centric perspective and harmonious human-machine collaboration concepts emphasized by Industry 5.0, the design phase of a collaborative workstation must integrate both psychological and physical risk evaluations to provide a safe and inclusive work environment suitable for a diversified workforce. Accelerating the pre-deployment phase to quickly reconfigure workstation design and assess its impact on workload balancing and task sequencing during the deployment of assembly lines still represents a challenging task considering the available software tools. This research proposes a new mathematical model to accelerate the design of ergonomic human-robot collaborative workstations based on task alternatives and the combined consideration of postural assessment and fatigue analyses for each of them to design an ergo-friendly collaborative environment. Surface electromyography analysis is jointly adopted with postural risk assessment measured with inertial measurement units and developed by a digital ergonomic platform to determine the optimal workplace configuration for tools, equipment, and resources to promote physical well-being while considering station productivity. Experimental tests are performed to investigate arm muscles and postural risk assessment for different configurations of workstation design and collaborative human-robot job progression. Experimental results demonstrate the feasibility, and the advantages of the proposed approach compared to existing simulation software to quickly generate and assess alternative scenarios and find a trade-off between ergo-quality levels and system performance. The final discussion offers valuable information for decision-makers and practitioners to facilitate the integration of human factors throughout the early stages of ergo-friendly workspace design, while effectively managing the complexity generated by resource allocation and collaborative robots.
| DOI: |  10.25430/researchdata.cab.unipd.it.00001226 |
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| Keywords: | Collaborative robots; Human factors; Human-centric manufacturing; Human-centered design; Shared workspace, Collaborative Workspace, Industry 5.0. | |||||||||||||||||||||||||||
| Subjects: | Physical:Sciences and Engineering > Products and Processes Engineering: Product design, process design and control, construction methods, civil engineering, energy processes, material engineering > Industrial design (product design, ergonomics, man-machine interfaces, etc.) | |||||||||||||||||||||||||||
| Department: | Departments > Dipartimento di Tecnica e Gestione dei Sistemi Industriali (DTG) | |||||||||||||||||||||||||||
| Depositing User: | Nicola Berti | |||||||||||||||||||||||||||
| Date Deposited: | 12 Nov 2024 09:11 | |||||||||||||||||||||||||||
| Last Modified: | 12 Nov 2024 09:11 | |||||||||||||||||||||||||||
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| Type of data: | Mixed | |||||||||||||||||||||||||||
| Research funder: | Next-Generation EU (Italian PNRR – M4 C2, Invest 1.3 – D.D. 1551.11-10-2022, PE00000004), European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 873077 | |||||||||||||||||||||||||||
| Research project title: | Made in Italy Circular and Sustainable - CUP MICS C93C22005280001, Models and Methods for an Active Ageing workforce: an International Academy - MAIA-2020-MSCA-RISE 2019 | |||||||||||||||||||||||||||
| Collection period: |
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| Data collection method: | Experimental test performed in laboratory setting. | |||||||||||||||||||||||||||
| Resource language: | English | |||||||||||||||||||||||||||
| Metadata language: | English | |||||||||||||||||||||||||||
| Publisher: | Research Data Unipd | |||||||||||||||||||||||||||
| Date: | 7 March 2024 | |||||||||||||||||||||||||||
| Copyright holders: | Authors | |||||||||||||||||||||||||||
| URI: | https://researchdata.cab.unipd.it/id/eprint/1226 |
orcid.org/0000-0002-0524-5870
