Workplace analysis and design using virtual reality techniques

Michalos, George; Karvouniari, Anna; Dimitropoulos, N.; Τόγιας, Θεόδωρος; Makris, Sotiris

doi:10.1016/j.cirp.2018.04.120

Cited by 89 publications

(31 citation statements)

References 14 publications

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“…Additionally, the human senses of touch (Bar-Cohen, 2003), smell , and taste (Ranasinghe et al 2014) in addition to the sight and 3D sound (Begault and Trejo 2000) are being explored by the research community. The modern day use of the term VR is associated with immersive-VR (Liu et al 2017;Michalos et al 2018;Liu et al 2017) however, the virtual simulation visualized on a computer screen is also a VR technology but is of nonimmersive nature. A measure to immersion is the feeling of presence (Simon and Greitemeyer 2019).…”

Section: Immersive and Non-immersive Virtual Reality (Vr)mentioning

confidence: 99%

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Virtual reality in manufacturing: immersive and collaborative artificial-reality in design of human-robot workspace

Malik

Masood

Bilberg

2019

International Journal of Computer Integrated Manufacturing

135

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Over the past years the concept of human centred automation has received a lot of attention to achieve hybrid automation. A form of hybrid automation is taking benefit from the synergistic effect of human-robot collaboration. When used in assembly, the requirement of flexibility, adaptability and safety makes the design and redesign of human-robot collaborative (HRC) systems a complex and prone to error process. The use of time-based continuous simulations can offer safe virtual space for testing and validation thus easing the design of complex HRC systems. However, conventional simulations don't allow to experience the future production system as an end-user in an immersive environment. This paper explores the technological development in VR for design of human-centered production systems and develop a unified framework to combine human-robot simulation with VR. The simulation as an event-driven simulation helped in estimating the humanrobot cycle times, developing process plan, layout optimization and robot control program. The same simulation is used in VR to interact with the production equipment and particularly with the robot. Additionally, AWS Sumerian environment is used to create a virtual robot to assist VR user in the design process.

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Section: Immersive and Non-immersive Virtual Reality (Vr)mentioning

confidence: 99%

“…A recent work on workplace analysis and design using virtual reality was presented by (Michalos et al 2018). The writer used a "Spaghetti Chart" as a lean tool for decision making during support to assembly workstation layout design.…”

Section: Related Workmentioning

confidence: 99%

Virtual reality in manufacturing: immersive and collaborative artificial-reality in design of human-robot workspace

Malik

Masood

Bilberg

2019

International Journal of Computer Integrated Manufacturing

135

View full text Add to dashboard Cite

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“…Therefore, when people observe surrounding things, it makes sense to observe different properties of things through different scales. In the actual image processing tasks, everything in the target image has its optimal observation scale [9][10][11]. Therefore, obtaining image spatial information by establishing a micro-time scale has become an effective image feature generation strategy.…”

Section: Introductionmentioning

confidence: 99%

Virtual Reality Image Technology Assists Training Optimization of Motion Micro-Time Scale

Cao

Shang

2020

IEEE Access

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Virtual reality image local features are highly repetitive and are not easily affected by target occlusion, so research on virtual reality image local feature extraction techniques has received increasing attention. For the purpose of global scale selection, this article considers the virtual reality image in the global scope from the theoretical perspectives of the continuity of virtual reality images, the repeatability of virtual reality image features, the scale of scene virtual reality images in the global scope, and the visual saliency. This paper gives a general framework of multi-scale geometric analysis and particle swarm optimization virtual reality image matching algorithm. For the problem of virtual reality image matching, the original particle swarm optimization algorithm is improved. A more reasonable inertia weight change formula, a method for selecting the optimal solution when two objectives are optimized at the same time, and a method for selecting a reasonable input are designed. In this paper, performance evaluation experiments are performed on several feature description algorithms. The experimental results show that the descriptors constructed by these feature description algorithms are significantly more robust than SIFT (Scale Invariant Feature Transform) descriptors. The improved multi-scale geometric analysis and particle swarm optimization are robust due to the introduction of multiple support domains. It has the best discriminative ability, but at the same time, the introduction of multiple support domains leads to the worst real-time algorithm; DGOH (Dual Gradient Orientation Histogram) algorithm is more robust than FRDOH (Fast Representation Based on a Double Orientation Histogram) and SIFT algorithm, and DGOH algorithm has the best real-time performance. INDEX TERMS virtual reality images; particle swarm optimization; multi-scale geometric analysis; inertial weights; feature description.

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“…So the most important step is to create, test and validate this virtual twin in an immersive virtual environment [2]. VR is used in the research field and used in the engineering field for designing manufacturing systems to optimize the deployment of various workplaces [3,4]. It is also possible to use VR in programming industrial robots [5].…”

Section: Introductionmentioning

confidence: 99%

A case study of robotic simulations using virtual commissioning supported by the use of virtual reality

et al. 2019

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Virtual Commissioning (VC) is a method and tool for verifying and testing the PLC control program on a virtual digital model of the manufacturing system. It allows to visualize and test the control system before the real commissioning of the production systems. The aim of the research is to implement virtual reality (VR) into the VC method and to verify the mutual interaction of signals between the simulation in VR environment, the digital model of the production system and the control system. The introduction of VR in VC increases the concept by adding more realistic visualization and tracking, which extends its validation capabilities. The changes made in VR virtual environment are transferred to the simulation model and can be validated in a real production system. The real production robotic system transformed into a virtual form will be a case study with its verification. Also will be tested security protocols and proven human interaction with the system to control the system through the virtual HMI (virtual user interface) using VR.

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Workplace analysis and design using virtual reality techniques

Cited by 89 publications

References 14 publications

Virtual reality in manufacturing: immersive and collaborative artificial-reality in design of human-robot workspace

Virtual reality in manufacturing: immersive and collaborative artificial-reality in design of human-robot workspace

Virtual Reality Image Technology Assists Training Optimization of Motion Micro-Time Scale

A case study of robotic simulations using virtual commissioning supported by the use of virtual reality

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