Augmented Reality for Digital Manufacturing

Blaga, Andreea; Tamás, Levente

doi:10.1109/med.2018.8443028

Cited by 32 publications

(16 citation statements)

References 8 publications

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“…As the research progressed, an increasing number of studies were focused on HRI methodologies, becoming a predominant objective in 2017. The ostensible reduction in 2018 should not mislead us to believe that HRI studies were abandoned in that year: As stated before, the presented classification is not univocal, thus studies such as [42][43][44] could also be considered HRI studies. Figure 6.…”

Section: Trends In the Literaturementioning

confidence: 98%

“…To increase safety, productivity, and task performance, researchers will need to improve planners, [39,53], environment and task understanding [28,40,54,55], operator intention understanding [38], and ergonomic cell setups [37,56]. To improve HRI systems, common future work focuses on increasing the robots' and operators' awareness of the task and environment by object recognition [44] and integrating multi-modal sensing in an intuitive manner for the operator [3,32,36].…”

Section: Trends In the Literaturementioning

confidence: 99%

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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: 98%

Section: Trends In the Literaturementioning

confidence: 99%

Human–Robot Collaboration in Manufacturing Applications: A Review

et al. 2019

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“…On the other hand, Lee [66] integrated AR with stochastic Petri net model to develop an AR labeling architecture for real-time modeling and simulation of large-scale manufacturing environments, resulting in improved layout design and simulation analysis. Blaga and Tamas [67] integrated AR with a cobot (collaborative robot), a see-through device, a digital twin, and an algorithm for assembly visualization. They demonstrated the effectiveness of this setup for superimposing augmented data on physical product, with a good degree of accuracy, showing its potential for improving manufacturing processes.…”

Section: Augmented Realitymentioning

confidence: 99%

A Strategic Roadmap for the Manufacturing Industry to Implement Industry 4.0

Butt

2020

Designs

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Industry 4.0 (also referred to as digitization of manufacturing) is characterized by cyber physical systems, automation, and data exchange. It is no longer a future trend and is being employed worldwide by manufacturing organizations, to gain benefits of improved performance, reduced inefficiencies, and lower costs, while improving flexibility. However, the implementation of Industry 4.0 enabling technologies is a difficult task and becomes even more challenging without any standardized approach. The barriers include, but are not limited to, lack of knowledge, inability to realistically quantify the return on investment, and lack of a skilled workforce. This study presents a systematic and content-centric literature review of Industry 4.0 enabling technologies, to highlight their impact on the manufacturing industry. It also provides a strategic roadmap for the implementation of Industry 4.0, based on lean six sigma approaches. The basis of the roadmap is the design for six sigma approach for the development of a new process chain, followed by a continuous improvement plan. The reason for choosing lean six sigma is to provide manufacturers with a sense of familiarity, as they have been employing these principles for removing waste and reducing variability. Major reasons for the rejection of Industry 4.0 implementation methodologies by manufactures are fear of the unknown and resistance to change, whereas the use of lean six sigma can mitigate them. The strategic roadmap presented in this paper can offer a holistic view of phases that manufacturers should undertake and the challenges they might face in their journey toward Industry 4.0 transition.

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“…In the near future within the MES is clearly expected a paradigm change for UI (Arica and Powell 2018): the visualization plays an important role both at lower and higher levels on the vertical scale. Currently the authors are already using some augmented reality related features (Blaga and Tamas 2018), which can be seen on also on this video: https://youtu.be/ BjXEL-VZbnw…”

Section: Figure 14: Sequence Diagram With the User Interactionmentioning

confidence: 99%

Smart CPS: vertical integration overview and user story with a cobot

Tamás

Murar

2018

International Journal of Computer Integrated Manufacturing

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In this paper an overview and a demonstration for the vertical integration of manufacturing enterprise layers are described by implementing the Manufacturing Execution System (MES). In the first part of the paper the details regarding the MES implementation are described, while in the second part the use case specific insights are highlighted. The presented use case contains each important step of a production line involving also a collaborative Baxter type robot and the state-of-the-art tools for MES implementation. The cobot-involved use case is relevant and generic enough in the context of Industry 4.0 offering a good overview of a typical vertical integration use case which can be generalized and applied to manufacturing scenarios. The paper ends with the lessons learned from the vertical integration process as well as future direction which can be followed in such a context.

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Augmented Reality for Digital Manufacturing

Cited by 32 publications

References 8 publications

Human–Robot Collaboration in Manufacturing Applications: A Review

Human–Robot Collaboration in Manufacturing Applications: A Review

A Strategic Roadmap for the Manufacturing Industry to Implement Industry 4.0

Smart CPS: vertical integration overview and user story with a cobot

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