Accented visualization by augmented reality for smart manufacturing aplications

Ivaschenko, Anton; Khorina, Anastasia; Sitnikov, Pavel

doi:10.1109/icphys.2018.8390759

Cited by 14 publications

(4 citation statements)

References 9 publications

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“…However, there are still open issues related to the problem of how comfortable and productive can be their use. To overcome these limitations, authors in [166] proposed a mechanism, namely "accented visualization" that allows adapting additional data, presented by AR devices, according to the user's current interest, attention and focus.…”

Section: Behavioral Layermentioning

confidence: 99%

Empowering cyberphysical systems of systems with intelligence

Nousias¹,

Piperigkos²,

Arvanitis³

et al. 2021

Preprint

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Cyber Physical Systems have been going into a transition phase from individual systems to a collecttives of systems that collaborate in order to achieve a highly complex cause, realizing a system of systems approach. The automotive domain has been making a transition to the system of system approach aiming to provide a series of emergent functionality like traffic management, collaborative car fleet management or large-scale automotive adaptation to physical environment thus providing significant environmental benefits (e.g air pollution reduction) and achieving significant societal impact. Similarly, large infrastructure domains, are evolving into global, highly integrated cyber-physical systems of systems covering all parts of the value chain. In practice, there are significant challenges in CPSoS applicability and usability to be addressed, i.e. even a small CPSoS such as a car consists several subsystems Decentralization of CPSoS appoints tasks to individual CPSs within the System of Systems. CPSoSs are heterogenous systems. They comprise of various, autonomous, CPSs, each one of them having unique performance capabilities, criticality level, priorities and pursued goals. all CPSs must also harmonically pursue systembased achievements and collaborate in order to make system-ofsystem based decisions and implement the CPSoS functionality. This survey will provide a comprehensive review on current best practices in connected cyberphysical systems. The basis of our investigation is a dual layer architecture encompassing a perception layer and a behavioral layer. Perception algorithms with respect to scene understanding (object detection and tracking, pose estimation), localization mapping and path planning are thoroughly investigated. Behavioural part focuses on decision making and human in the loop control.

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Section: Behavioral Layermentioning

confidence: 99%

Empowering cyberphysical systems of systems with intelligence

Nousias¹,

Piperigkos²,

Arvanitis³

et al. 2021

Preprint

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“…Regarding the HMI landscape in I4.0, there is some agreement among the authors in identifying virtual reality (VR) [36,37], and augmented reality (AR) [36,38] as the two main technological drivers of the new generation of interfaces [23,27,39]. Those technologies allow users to operate in complex 3D workspaces, providing an immersive and realistic visualization as well as a natural interaction [40] through multiple sensorial channels (e.g., vision, sound, touch, smell, taste).…”

Section: Human-machine Interaction In Industry 40mentioning

confidence: 99%

“…Furthermore, AR in particular, unlike VR, does not replace the real world with a synthetic one. It seeks to improve the experience of individuals in the real world by superimposing computer-generated perceptual information on it [29] through a ubiquitous and pseudo-transparent interface, allowing a contextualized visualization of complex data [44] and, consequently, providing valuable support for tasks such as maintenance, repair, assembly or creation of virtual content [38,45].…”

Section: Human-machine Interaction In Industry 40mentioning

confidence: 99%

Towards Customer-Centric Additive Manufacturing: Making Human-Centered 3D Design Tools through a Handheld-Based Multi-Touch User Interface

Rodriguez-Conde

Campos

2020

Sensors

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Seeking a more flexible and efficient production, additive manufacturing (AM) has emerged as a major player in the industrial field, streamlining the fabrication of custom tangible assets by directly 3D printing them. However, production still takes too long due to printing, but also due to the product design stage, in which the customer works together with an expert to create a 3D model of the targeted product by means of computer-aided design (CAD) software. Skipping intermediate agents and making customers responsible for the design process will reduce waiting times and speed up the manufacturing process. This work is conceived as a first step towards that optimized AM model, being aimed at bringing CAD tools closer to clients through an enhanced user experience, and consequently at simplifying pre-manufacturing design tasks. Specifically, as an alternative to the traditional user interface operated with the keyboard and mouse duo, standard in CAD and AM, the paper presents a comprehensive multi-touch interaction system conceived as a customer-centric human-machine interface. To depict the proposed solutions, we adopt furniture manufacturing as a case study and, supported by a CAD-like software prototype for 3D modeling of custom cabinets introduced in a previous work of the authors, we assess our approach’s validity in terms of usability by conducting in-lab and remote user studies. The comparison between the designed multi-touch interaction and its desktop alternative yields promising results, showing improved performance and higher satisfaction of the end-user for the touch-based approach, that lay the groundwork for a smarter factory vision based on remotely-operated AM.

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“…I4.0 integrates also the state of the art of communication technologies such as cloud (Xu, 2012;Xie et al, 2017), IoT (Cagnin et al, 2018;Wan et al, 2018a) with the new trends of evolved intelligent industrial technologies, such as new-generation intelligent agents (Kannengiesser & Muller, 2013), Internet of Robotics Things (Ray, 2016), Augmented Reality. and Virtual Realty (Flatt et al, 2015;Ivaschenko et al, 2018).…”

Section: Challenges Of Industry 40mentioning

confidence: 99%

Ontologies for Industry 4.0

Ragavan

Khamis

Fiorini³

et al. 2019

The Knowledge Engineering Review

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The current fourth industrial revolution, or 'Industry 4.0' (I4.0), is driven by digital data, connectivity, and cyber systems, and it has the potential to create impressive/new business opportunities. With the arrival of I4.0, the scenario of various intelligent systems interacting reliably and securely with each other becomes a reality which technical systems need to address. One major aspect of I4.0 is to adopt a coherent approach for the semantic communication in between multiple intelligent systems, which include human and artificial (software or hardware) agents. For this purpose, ontologies can provide the solution by formalizing the smart manufacturing knowledge in an interoperable way. Hence, this paper presents the few existing ontologies for I4.0, along with the current state of the standardization effort in the factory 4.0 domain and examples of real-world scenarios for I4.0.

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Accented visualization by augmented reality for smart manufacturing aplications

Cited by 14 publications

References 9 publications

Empowering cyberphysical systems of systems with intelligence

Empowering cyberphysical systems of systems with intelligence

Towards Customer-Centric Additive Manufacturing: Making Human-Centered 3D Design Tools through a Handheld-Based Multi-Touch User Interface

Ontologies for Industry 4.0

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