Virtual Reality Production Training System in the Scope of Intelligent Factory

Żywicki, Krzysztof; Zawadzki, Przemysław; Górski, Filip

doi:10.1007/978-3-319-64465-3_43

Cited by 26 publications

(10 citation statements)

References 16 publications

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“…ViMeLa delivered a VRspace, where students could experiment with simple machinery which allows them to make and later learn from mistakes without real-world consequences (i.e., expensive dameage). A similar example was presented in [86], where the authors described a system for learning the inner operations of an intelligent factory, according to the concept of Industry 4.0.…”

Section: Engineering Educationmentioning

confidence: 95%

Virtual Reality and Its Applications in Education: Survey

et al. 2019

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In the education process, students face problems with understanding due to the complexity, necessity of abstract thinking and concepts. More and more educational centres around the world have started to introduce powerful new technology-based tools that help meet the needs of the diverse student population. Over the last several years, virtual reality (VR) has moved from being the purview of gaming to professional development. It plays an important role in teaching process, providing an interesting and engaging way of acquiring information. What follows is an overview of the big trend, opportunities and concerns associated with VR in education. We present new opportunities in VR and put together the most interesting, recent virtual reality applications used in education in relation to several education areas such as general, engineering and health-related education. Additionally, this survey contributes by presenting methods for creating scenarios and different approaches for testing and validation. Lastly, we conclude and discuss future directions of VR and its potential to improve the learning experience.Information 2019, 10, 318 2 of 20 must be carried out under supervision; therefore, students cannot self-configure lab equipment, experience states of emergency or effects of misconfiguration which may lead to equipment damage. Moreover, there is no possibility to practice and catch up outside the laboratory schedule. Currently, the solutions are modern technologies such as online courses [8,9], blended learning [10-13], different computer-based platforms [14-18] and many others, which allow the students to repeat several times the same topic, make mistakes and learn from them. Numerous examples of hardware and software which have been successful in educational processes indicate that edtech industry can improve learning outcomes for the majority of students [19]. More and more educational centres around the world are starting to introduce powerful new technology tools that help them to meet the needs of diverse student populations. Traditional books are being replaced by digital instructional content (especially from open educational resources) [20]. Notebooks, tablets or cell phones with dedicated application have replaced classical copybooks [21]. Distance [22] and personalised learning [23] are used to tailor education to each student's academic strengths, weaknesses, preferences and goals.It is well known that the use of information and communication technologies have been found to improve student attitudes towards learning [24][25][26][27]. It is a rapidly growing field of research, continually developing and looking for new technological solutions. Over the last several years, Virtual Reality (VR), which provides an interactive computer-generated environment, has moved from being the purview of the gaming to the professional development such as military, psychology, medicine and teaching applications.In 1987, Jaron Lanier, together with Steve Bryson, formulated the first definition of VR, which they desc...

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Section: Engineering Educationmentioning

confidence: 95%

Virtual Reality and Its Applications in Education: Survey

et al. 2019

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“…The majority of modern production companies introduce an paradigm for the increasing digitization and automation of the manufacturing environment known as 0 [1]. One of the elements they introduce are the Smart Factories [2]. Human workforce, integrated into manufacturing systems in Smart Factories, must be flexible and adaptive [3].…”

Section: Introductionmentioning

confidence: 99%

Process of Materials Picking Using Augmented Reality

Żywicki

Buń

2021

IEEE Access

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The thesis describes the research conducted on the effectiveness of purposed Augmented Reality solutions for material identification in the production system. The research was carried out at the Smart Factory laboratory of the Poznan University of Technology and was divided into two stages. In the first stage, the research has been conducted to identify both of the best variants of application and the AR smart glasses which were used in second stage. The time of identification and completion of production parts obtained using the AR technique and the traditional technique were compared during the second stage of the research. The results of the second experiment show that the AR method is efficacious for identifying materials in a production system; however, the traditional method time is shorter. This proves that the traditional method is more effective and therefore AR solutions need to be improved.

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“…Motion activity is understood as the performance of a certain movement of parts of the body. Teaching these activities (i.e., motor learning [1]) has great social significance, particularly in areas such as rehabilitation for people with motor system dysfunctions, sports, recreation, as well as the acquisition of skills that are essential for professional vocational work (e.g., piloting, machine operation, and teleoperation) [2][3][4][5][6][7][8][9][10][11]. The possibility of facilitating the teaching of these kinds of activities through automated systems is of enormous significance.…”

Section: Motor Learningmentioning

confidence: 99%

Machine Learning Methodology in a System Applying the Adaptive Strategy for Teaching Human Motions

Wójcik

Piekarczyk

2020

Sensors

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The teaching of motion activities in rehabilitation, sports, and professional work has great social significance. However, the automatic teaching of these activities, particularly those involving fast motions, requires the use of an adaptive system that can adequately react to the changing stages and conditions of the teaching process. This paper describes a prototype of an automatic system that utilizes the online classification of motion signals to select the proper teaching algorithm. The knowledge necessary to perform the classification process is acquired from experts by the use of the machine learning methodology. The system utilizes multidimensional motion signals that are captured using MEMS (Micro-Electro-Mechanical Systems) sensors. Moreover, an array of vibrotactile actuators is used to provide feedback to the learner. The main goal of the presented article is to prove that the effectiveness of the described teaching system is higher than the system that controls the learning process without the use of signal classification. Statistical tests carried out by the use of a prototype system confirmed that thesis. This is the main outcome of the presented study. An important contribution is also a proposal to standardize the system structure. The standardization facilitates the system configuration and implementation of individual, specialized teaching algorithms.

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Virtual Reality Production Training System in the Scope of Intelligent Factory

Cited by 26 publications

References 16 publications

Virtual Reality and Its Applications in Education: Survey

Virtual Reality and Its Applications in Education: Survey

Process of Materials Picking Using Augmented Reality

Machine Learning Methodology in a System Applying the Adaptive Strategy for Teaching Human Motions

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