ABSTRACT
Collaborative robots (cobots) are increasingly installed at manufactory plants to keep up with the market demands, combining the benefits of advanced automation and flexible production machines. Yet, the workers’ acceptance of this technology is crucial to fully exploit their potential and to make cobots a valuable support for operators themselves. The present paper reports and discusses the preliminary results of a semi-structured interview study, which investigates how adult workers of different age groups receive a cobot installed in an Adaptive Assembly Workstation (AAW), which is a cutting-edge tool customizable to match the physical features of the operator. More specifically, participants had the opportunity to experience a realistic working activity with the cobot before being interviewed. Data from the interviews indicate that participants considered the robot useful and safe. Additionally, some design proposals emerged.
- Hongyi Liu and Lihui Wang. 2021. Collision-free human-robot collaboration based on context awareness. Robot. Comput. Integr. Manuf. 67, November 2019 (2021), 101997. https://doi.org/10.1016/j.rcim.2020.101997Google ScholarCross Ref
- Eloise Matheson, Riccardo Minto, Emanuele G.G. Zampieri, Maurizio Faccio, and Giulio Rosati. 2019. Human-robot collaboration in manufacturing applications: A review. Robotics 8, 4 (2019), 1–25. https://doi.org/10.3390/robotics8040100Google ScholarCross Ref
- Sarah R Fletcher, Teegan Johnson, Tobias Adlon, Jon Larreina, Patricia Casla, Laure Parigot, Pedro J Alfaro, and María del Mar Otero. 2020. Adaptive automation assembly: Identifying system requirements for technical efficiency and worker satisfaction. Comput. Ind. Eng. 139, (2020), 105772. https://doi.org/10.1016/j.cie.2019.03.036Google Scholar
- Philippe Rauffet, Clement Guerin, Christine Chauvin, and Eric Martin. 2018. Contribution of Industry 4.0 to the emergence of a joint cognitive and physical production system. In HFES European Chapter., Berlin, GermanyGoogle Scholar
- Sarah R Fletcher, Teegan L Johnson and Jon Larreina. 2019. Putting people and robots together in manufacturing: are we ready? In Robotics and Well-Being. Springer, Cham, 135-147. https://doi.org/10.1007/978-3-030-12524-0_12Google Scholar
- Shirine El Zaatari, Mohamed Marei, Weidong Li, and Zahid Usman. 2019. Cobot programming for collaborative industrial tasks: An overview. Rob. Auton. Syst. 116, (2019), 162–180. https://doi.org/doi.org/10.1016/j.robot.2019.03.003Google Scholar
- Weitian Wang, Yi Chen, Rui Li, and Yunyi Jia. 2019. Learning and Comfort in Human–Robot Interaction: A Review. Appl. Sci. 9, 23 (2019), 5152. https://doi.org/10.3390/app9235152Google ScholarCross Ref
- Bzhwen A Kadir and Ole Broberg. 2020. Human well-being and system performance in the transition to industry 4.0. Int. J. Ind. Ergon. 76, (2020), 102936. https://doi.org/10.1016/j.ergon.2020.102936Google ScholarCross Ref
- Tamio Arai, Ryu Kato, and Marina Fujita. 2010. Assessment of operator stress induced by robot collaboration in assembly. CIRP Ann. 59, 1 (2010), 5–8. https://doi.org/10.1016/j.cirp.2010.03.043Google ScholarCross Ref
- Federico Vicentini. 2020. Terminology in safety of collaborative robotics. Robot. Comput. Integr. Manuf. 63, January 2019 (2020), 101921. https://doi.org/10.1016/j.rcim.2019.101921Google ScholarDigital Library
- Emanuele Magrini, Federica Ferraguti, Andrea Jacopo Ronga, Fabio Pini, Alessandro De Luca, and Francesco Leali. 2020. Human-robot coexistence and interaction in open industrial cells. Robot. Comput. Integr. Manuf. 61, July 2019 (2020), 101846. https://doi.org/10.1016/j.rcim.2019.101846Google ScholarDigital Library
- Margaret Pearce, Bilge Mutlu, Julie Shah, and Robert Radwin. 2018. Optimizing Makespan and Ergonomics in Integrating Collaborative Robots Into Manufacturing Processes. IEEE Trans. Autom. Sci. Eng. 15, 4 (2018), 1772–1784. https://doi.org/10.1109/TASE.2018.2789820Google ScholarCross Ref
- Sara Bragança, Eric Costa, Ignacio Castellucci and Pedro MS Arezes. 2019. A Brief Overview of the Use of Collaborative Robots in Industry 4.0: Human Role and Safety. In Occupational and Environmental Safety and Health. Springer, Cham, 641-650. https://doi.org/10.1007/978-3-030-14730-3_68Google Scholar
- Jessica Lindblom and Wei Wang. 2018. Towards an Evaluation Framework of Safety, Trust, and Operator Experience in Different Demonstrators of Human-Robot Collaboration. IOS Press, School of Informatics, University of Skövde (2018). https://doi.org/10.3233/978-1-61499-902-7-145Google Scholar
- Gwenith G Fisher, Marisol Chacon and Dorey S Chaffee. 2019. Theories of Cognitive Aging and Work. In Work Across the Lifespan.Academic Press, 17-45. https://doi.org/10.1016/B978-0-12-812756-8.00002-5Google Scholar
- Margherita Peruzzini, Marcello Pellicciari. 2017. A framework to design a human-centred adaptive manufacturing system for aging workers. Advanced Engineering Informatics 33, (2017), 330-349. https://doi.org/10.1016/j.aei.2017.02.003Google ScholarDigital Library
- Sarah L Müller-Abdelrazeq, Kathrin Schönefeld, Max Haberstroh, and Frank Hees. 2019. Interacting with Collaborative Robots—A Study on Attitudes and Acceptance in Industrial Contexts. In Social Robots: Technological, Societal and Ethical Aspects of Human-Robot Interaction. Springer, 101–117. https://doi.org/10.1007/978-3-030-17107-0_6Google Scholar
- Timothy A Bentley, Stephen T Teo, Bevan Catley, Kate Blackwood, Maree Roche and Michael P O'Driscoll. 2019. Factors influencing leave intentions among older workers: a moderated-mediation model. Personnel Review. Emerald Publishing Limited, 48, 4 (2019), 898-914. https://doi.org/10.1108/PR-03-2018-0095Google Scholar
- Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative Research in Psychology. 3, (2006), 77-101. https://doi.org/10.1191/1478088706qp063oaGoogle Scholar
- Taiuani Marquine Raymundo and Carla da Silva Santana. 2019. Specific ICT training of older Brazilian workers. Gerontechnology 18, 3 (2019), 168–179. https://doi.org/https://doi.org/10.4017/gt.2019.18.3.004Google ScholarCross Ref
- Adaptive Assembly Workstations and cobots: a qualitative assessment involving senior and adult workers
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