Systematic literature review on augmented reality in smart manufacturing: Collaboration between human and computational intelligence

Baroroh, Dawi Karomati; Chu, Chih-Hsing; Wang, Lihui

doi:10.1016/j.jmsy.2020.10.017

Cited by 120 publications

(42 citation statements)

References 78 publications

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“…In particular, MR has been used to improve all kinds of industrial processes, from maintenance services [16,17,18,19] to industrial robot programming [20]. MR fills the gap between reality and virtuality, where it can be considered two subcategories [21]: augmented reality (AR), i.e., merging virtual objects into the real world [22,23,24]; and augmented virtuality (AV), i.e., merging real-world objects into virtual worlds [25].…”

Section: Literature Reviewmentioning

confidence: 99%

Advanced teleoperation and control system for industrial robots based on augmented virtuality and haptic feedback

González

Solanes

Muñoz

et al. 2021

Journal of Manufacturing Systems

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There are some industrial tasks that are still mainly performed manually by human workers due to their complexity, which is the case of surface treatment operations (such as sanding, deburring, finishing, grinding, polishing, etc.) used to repair defects. This work develops an advanced teleoperation and control system for industrial robots in order to assist the human operator to perform the mentioned tasks. On the one hand, the controlled robotic system provides strength and accuracy, holding the tool, keeping the right tool orientation and guaranteeing a smooth approach to the workpiece. On the other hand, the advanced teleoperation provides security and comfort to the user when performing the task. In particular, the proposed teleoperation uses augmented virtuality (i.e., a virtual world that includes non-modeled real-world data) and haptic feedback to provide the user an immersive virtual experience when remotely teleoperating the tool of the robot system to treat arbitrary regions of the workpiece surface. The method is illustrated with a car body surface treatment operation, although it can be easily extended to other surface treatment applications or even to other industrial tasks where the human operator may benefit from robotic assistance. The effectiveness of the proposed approach is shown with several experiments using a 6R robotic arm.

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Section: Literature Reviewmentioning

confidence: 99%

Advanced teleoperation and control system for industrial robots based on augmented virtuality and haptic feedback

González

Solanes

Muñoz

et al. 2021

Journal of Manufacturing Systems

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“…Enabling technologies such as augmented reality (AR) are critical to support human-machine collaborations and interactions. Baroroh et al [23] showed that AR were used in SM in implementing interactions, manufacturing processes, machine functions, and knowledge explorations.…”

Section: Human Cyber-physical Systems (Hcps)mentioning

confidence: 99%

Generic Design Methodology for Smart Manufacturing Systems from a Practical Perspective. Part II—Systematic Designs of Smart Manufacturing Systems

Zhang

et al. 2021

Machines

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In a traditional system paradigm, an enterprise reference model provides the guide for practitioners to select manufacturing elements, configure elements into a manufacturing system, and model system options for evaluation and comparison of system solutions against given performance metrics. However, a smart manufacturing system aims to reconfigure different systems in achieving high-level smartness in its system lifecycle; moreover, each smart system is customized in terms of the constraints of manufacturing resources and the prioritized performance metrics to achieve system smartness. Few works were found on the development of systematic methodologies for the design of smart manufacturing systems. The novel contributions of the presented work are at two aspects: (1) unified definitions of digital functional elements and manufacturing systems have been proposed; they are generalized to have all digitized characteristics and they are customizable to any manufacturing system with specified manufacturing resources and goals of smartness and (2) a systematic design methodology has been proposed; it can serve as the guide for designs of smart manufacturing systems in specified applications. The presented work consists of two separated parts. In the first part of paper, a simplified definition of smart manufacturing (SM) is proposed to unify the diversified expectations and a newly developed concept digital triad (DT-II) is adopted to define a generic reference model to represent essential features of smart manufacturing systems. In the second part of the paper, the axiomatic design theory (ADT) is adopted and expanded as the generic design methodology for design, analysis, and assessment of smart manufacturing systems. Three case studies are reviewed to illustrate the applications of the proposed methodology, and the future research directions towards smart manufacturing are discussed as a summary in the second part.

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“…Once the socialisation (the ability to interact with others, or to socialize) of the automated production systems is achieved, several scientific questions that can only be resolved through further research remain open. In particular, as the capacities and abilities of humans and intelligent systems are not similar; thus, the recognition of differences is most relevant for a balanced architecture, with a better allocation of competencies and complementarities based on new technologies as Augmented Reality, IIoT [47,48].…”

Section: Social Interactions Based On Peer-to-peer Communication Interfacesmentioning

confidence: 99%

Social Dimensions in CPS & IoT Based Automated Production Systems

et al. 2021

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Since the 1970s, the application of microprocessor in industrial machinery and the development of computer systems have transformed the manufacturing landscape. The rapid integration and automation of production systems have outpaced the development of suitable human design criteria, creating a deepening gap between humans and systems in which human was seen as an important source of errors and disruptions. Today, the situation seems different: the scientific and public debate about the concept of Industry 4.0 has raised awareness about the central role humans have to play in manufacturing systems, the design of which must be considered from the very beginning. The future of industrial systems, as represented by Industry 4.0, will rely on the convergence of several research fields such as Intelligent Manufacturing Systems (IMS), Cyber-Physical Systems (CPS), Internet of Things (IoT), but also socio-technical fields such as social approaches within technical systems. This article deals with different human social dimensions associated with CPS and IoT and focuses on their conceptual evolution regarding automated production systems’ sociability, notably by bringing humans back in the loop. Hereby, this paper aims to take stock of current research trends to show the importance of integrating human operators as a part of a socio-technical system based autonomous and intelligent products or resources. Consequently, different models of sociability as a way to integrate humans in the broad sense and/or the develop future automated production systems have been identified from the literature and analysed.

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Systematic literature review on augmented reality in smart manufacturing: Collaboration between human and computational intelligence

Cited by 120 publications

References 78 publications

Advanced teleoperation and control system for industrial robots based on augmented virtuality and haptic feedback

Advanced teleoperation and control system for industrial robots based on augmented virtuality and haptic feedback

Generic Design Methodology for Smart Manufacturing Systems from a Practical Perspective. Part II—Systematic Designs of Smart Manufacturing Systems

Social Dimensions in CPS & IoT Based Automated Production Systems

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