Browsing by Author "Larreina, Jon"
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Item Open Access Adaptive automation assembly: Identifying system requirements for technical efficiency and worker satisfaction(Elsevier, 2019-03-23) Fletcher, Sarah R.; Johnson, Teegan L.; Adlon, Tobias; Larreina, Jon; Casla, Patricia; Parigot, Laure; Alfaro, Pedro J.; Del Mar Otero, MaríaManual assembly work systems bring high flexibility but low productivity in comparison to fully automated systems. To increase productivity but maintain flexibility, future systems need to incorporate greater levels of automation which complement or augment the capabilities of the human operators who provide the manual work. Future systems should be designed for social and economic sustainability within fluctuating conditions and for adaptive utilisation of operators’ individual capabilities to maintain levels of productivity and personal satisfaction. To successfully create such systems with greater adaptivity and interactivity between people and technology a comprehensive understanding of design requirements is needed; the current problem is that there is no standard valid framework. The work described in this paper employed a three-component investigation to identify the various key requirements that are needed to form such a design framework for future human-automation assembly systems. This involves separate activities with different methodologies involving literature reviews, surveys and business case analysis to define use case scenarios and requirements for creating adaptive automation assembly system demonstrators. The different methodological approaches and results for all of the three component studies are described, along with conclusions and implications for further research work and for industry in general.Item Open Access Chapter 12: Putting people and robots together in manufacturing: are we ready?(Springer, 2019-05-06) Fletcher, Sarah; Teegan, Johnson; Larreina, JonTraditionally, industrial robots have needed complete segregation from people in manufacturing environments to mitigate the significant risk of injury posed by their high operational speeds and heavy payloads. However, advances in technology now not only enable the application of smaller force-limited robotics for lighter industrial tasks but also wider collaborative deployment of large-scale robots. Such applications will be critical to future manufacturing but present a design and integration challenge as we do not yet know how closer proximity and interactions will impact on workers’ psychological safety and well-being. There is a need to define new ethical and safety standards for putting people and robots together in manufacturing, but to do this we need empirical data to identify requirements. This chapter provides a summary of the current state, explaining why the success of augmenting human–robot collaboration in manufacturing relies on better consideration of human requirements, and describing current research work in the European A4BLUE project to identify this knowledge. Initial findings confirm that ethical and psychological requirements that may be crucial to industrial human–robot applications are not yet being addressed in safety standards or by the manufacturing sector.