Collaborative Assembly in Hybrid Manufacturing Cells: An Integrated Framework for Human–Robot Interaction

Sadrfaridpour, Behzad; Wang, Yue

doi:10.1109/tase.2017.2748386

Cited by 116 publications

(59 citation statements)

References 37 publications

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“…Multiple studies reported an increase in task performance-e.g., by reducing completion time and minimizing error [25,37,38,43]as well as a better understanding of the operator space [29,31,32,41] and higher precision of workpiece manipulation [28,30,45]. Thematic areas of research intent can be identified, such as increasing and quantifying the trust of the operator in the robotic system [29,46,47], as well as improving safety by minimizing collisions [40].…”

Section: Trends In the Literaturementioning

confidence: 99%

Human–Robot Collaboration in Manufacturing Applications: A Review

et al. 2019

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This paper provides an overview of collaborative robotics towards manufacturing applications. Over the last decade, the market has seen the introduction of a new category of robots—collaborative robots (or “cobots”)—designed to physically interact with humans in a shared environment, without the typical barriers or protective cages used in traditional robotics systems. Their potential is undisputed, especially regarding their flexible ability to make simple, quick, and cheap layout changes; however, it is necessary to have adequate knowledge of their correct uses and characteristics to obtain the advantages of this form of robotics, which can be a barrier for industry uptake. The paper starts with an introduction of human–robot collaboration, presenting the related standards and modes of operation. An extensive literature review of works published in this area is undertaken, with particular attention to the main industrial cases of application. The paper concludes with an analysis of the future trends in human–robot collaboration as determined by the authors.

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Section: Trends In the Literaturementioning

confidence: 99%

Human–Robot Collaboration in Manufacturing Applications: A Review

et al. 2019

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“…The service layer provides various taskrelated services, e.g., augmented reality (AR) based visualisation, collaboration services, and pre-and post-augmented services considering the contexts. On the other hand, resource monitoring is supported by sensors, 3D models, point clouds and remote computing resources [23,166,245,247,248,250,258,214].…”

Section: Context Awareness and Resource Monitoringmentioning

confidence: 99%

Symbiotic human-robot collaborative assembly

et al. 2019

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In human-robot collaborative assembly, robots are often required to dynamically change their pre-planned tasks to collaborate with human operators in a shared workspace. However, the robots used today are controlled by pre-generated rigid codes that cannot support effective human-robot collaboration. In response to this need, multi-modal yet symbiotic communication and control methods have been a focus in recent years. These methods include voice processing, gesture recognition, haptic interaction, and brainwave perception. Deep learning is used for classification, recognition and context awareness identification. Within this context, this keynote provides an overview of symbiotic human-robot collaborative assembly and highlights future research directions.

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“…The development and the improvement of the technologies used for the design of collaborative robots, together with the reduction of the investment required for their installation, have led to an interesting spread of these systems [11,12]. Recent research has shown how a proper programming of a cobot can be crucial to guarantee a successful use of such a device [13]; other important aspects are related to the used visual system and to the effectiveness of the grasp action [14,15].…”

Section: Literature Analysismentioning

confidence: 99%

Modelling time efficiency of cobot-supported kit preparation

Fager

Calzavara

Sgarbossa

2019

Int J Adv Manuf Technol

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Kittingmeaning to supply assembly with components in presorted kitsis widely seen as beneficial for assembly quality and efficiency when there is a multitude of component variants. However, the process by which kits are preparedthe kit preparation is labour-intensive, and kit errors are problematic at assembly processes. The use of robotics to support kit preparation has received some attention by researchers, but literature is lacking with respect to how collaborative robotscobotscan support kit preparation activities. The purpose of this paper is to identify the potential of a cobot to support time-efficient batch preparation of kits. To address the purpose, the paper presents a mathematical model for estimation of the cycle time associated with cobotsupported kit preparation. The model is applied in a numerical example with experimental data from laboratory experiments, and cobot-supported kit preparation is compared with manual kit preparation. The findings suggest that cobot-supported kit preparation is beneficial with diverse kits and smaller components quantities per SKU (Stock Keeping Unit) and provides less variability of the outcome, when compared to manual kit preparation. The paper reveals several insights about cobotsupported kit preparation that can be valuable for both academics and practitioners. The model developed can be used by practitioners to assess the potential of cobots to support kit-batch preparation in association with assembly, spare parts, repair and maintenance, or business to business industry.

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Collaborative Assembly in Hybrid Manufacturing Cells: An Integrated Framework for Human–Robot Interaction

Cited by 116 publications

References 37 publications

Human–Robot Collaboration in Manufacturing Applications: A Review

Human–Robot Collaboration in Manufacturing Applications: A Review

Symbiotic human-robot collaborative assembly

Modelling time efficiency of cobot-supported kit preparation

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