Fusion of VR and teleoperation for innovative near-presence laboratory experience in engineering education

Rakshit, Sushanta Mohan; Banerjee, Subharthi; Hempel, Michael; Sharif, Hamid

doi:10.1109/eit.2017.8053390

Cited by 7 publications

(5 citation statements)

References 13 publications

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“…Smart Devices [78] [79], [80], [81], [82], [83] [82], [84], [83], [85], [86] [87], [88], [89], [90],…”

Section: Hardwareunclassified

Digital Tools, Technologies, and Learning Methodologies for Education 4.0 Frameworks: A STEM Oriented Survey

Boltsi,

Kalovrektis,

Xenakis

et al. 2024

IEEE Access

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The correlation between learning and teaching technologies is multidimensional and complex, thus, the digital tools that can help students turning information into knowledge define the crucial role of pedagogical practice. Open access to hardware and software tools is a focal point for advancing learning. In sciences, lab-based experiments constitute a vital part of curricula that bridge the gap between theory and practice. Access to remote lab tools is possible by pairing simulators, emulators and actual equipment, located in various geographical locations. Under this premise, Education 4.0 defines a new learning framework aligned with the fourth industrial revolution digital requirements. These constitute smart sensors, Artificial Intelligence (AI) and Robotics. In this context, University graduates need to prepare themselves with complex problem solving and interdisciplinary problems. To this end, contemporary Science, Technology, Engineering and Mathematics (STEM) teaching practices should be present along the way. Digitally competent students need to learn from a modern and adjustable curriculum tailored to cover necessary skills related to Internet of Things (IoT). Therefore, the digitization of University campuses, including smart IoT, Information and Communication Technology (ICT) and Fifth Generation (5G) automation infrastructures is necessary. In this work, we carry out an extensive STEM oriented survey which highlights and categorizes all contemporary digital tools and technologies needed to support future graduates. Moreover, we focus on contemporary pedagogical and didactic approaches to support Education 4.0 skills. We match contemporary methods with lab types, expected learning outcomes and open software and hardware tools, as imposed by the Education 4.0 framework. Our scenarios mainly focus on University education and consider smart sensors, IoT, 5G technologies, which are the basic building components for students' digital competencies to meet Education 4.0 requirements.

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“…Smart Devices [78] [79], [80], [81], [82], [83] [82], [84], [83], [85], [86] [87], [88], [89], [90],…”

Section: Hardwareunclassified

Digital Tools, Technologies, and Learning Methodologies for Education 4.0 Frameworks: A STEM Oriented Survey

Boltsi,

Kalovrektis,

Xenakis

et al. 2024

IEEE Access

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“…Rozell et al [100] developed Circuit World, an immersive VR experience that allowed users to appear in the environment as avatars to build circuits without the need to be present in-person. Rakshit et al [101] applied an immersive near-presence approach by allowing a robot to perform circuit measurements. The user wears a HMD and controls the robot's arms remotely (see Figure 11).…”

Section: ) Vr Technology In Electrical Engineering Streamsmentioning

confidence: 99%

“…Google Cloud Platform (GCP) 1 [81] No mention 10 [31], [32], [88], [89], [92], [98], [101], [106], [107], [109] VOLUME XX, 2017…”

Section: Table VIII the Development Software Used For Vr Development ...mentioning

confidence: 99%

“…Head Mounted Display 4 [84], [87], [99], [100] Desktop/Laptop 14 [31]- [33], [37], [81], [82], [89], [91], [97], [102], [104], [105], [110], [111] Oculus 9 [34], [83], [85], [90], [93]- [96], [111] HTC 5 [86], [90], [101], [104], [108] Hardware kit 5 [88], [93], [101], [103], [109] Google Cardboard 1 [106] Not mentioned 3 [82], [98], [107] This article has been accepted for publication in IEEE Access. This is the author's version which has not been fully edited and content may change prior to final publication.…”

Section: Number Of Applications Referencesmentioning

confidence: 99%

“…Four references [93] [98] [101] [107] mentioned that AR/VR technologies promote online education and autonomous learning. An advantage of AR is that the instructor can focus more on harder concepts in class and easier concepts can be explained using AR [67].…”

Section: Research Question 4): What Are the Advantages Of Using Ar/vr...mentioning

confidence: 99%

See 2 more Smart Citations

Applications of Augmented and Virtual Reality in Electrical Engineering Education: A Review

Asham,

Bakr,

Emadi

2023

IEEE Access

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Augmented Reality and Virtual Reality are one of the key advances in technology in the last decade. Their usage is rapidly increasing across various contexts. The COVID-19 pandemic and the pressing need for remote learning tools that imitate as close as possible real training environments motivated more research and investigation of AR/VR tools. We present in this work a review of the applications of Augmented Reality (AR) and Virtual Reality (VR) in electrical engineering education. We apply a methodological review of all available publications in this area and classify them according to the application. We ask key research questions regarding these publications. We present recommendations for researchers and educators who want to apply these promising technologies.

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Visualization and simulation of steel metallurgy processes

Song

Yang³

et al. 2021

Int J Miner Metall Mater

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Fusion of VR and teleoperation for innovative near-presence laboratory experience in engineering education

Cited by 7 publications

References 13 publications

Digital Tools, Technologies, and Learning Methodologies for Education 4.0 Frameworks: A STEM Oriented Survey

Digital Tools, Technologies, and Learning Methodologies for Education 4.0 Frameworks: A STEM Oriented Survey

Applications of Augmented and Virtual Reality in Electrical Engineering Education: A Review

Visualization and simulation of steel metallurgy processes

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