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Robotics E-Learning Supported by Collaborative and Distributed Intelligent Environments

Robotics E-Learning Supported by Collaborative and Distributed Intelligent Environments

Maki K. Habib
Copyright: © 2020 |Pages: 17
ISBN13: 9781522577935|ISBN10: 1522577939|ISBN13 Softcover: 9781522591504|EISBN13: 9781522577942
DOI: 10.4018/978-1-5225-7793-5.ch005
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MLA

Habib, Maki K. "Robotics E-Learning Supported by Collaborative and Distributed Intelligent Environments." Revolutionizing Education in the Age of AI and Machine Learning, edited by Maki K. Habib, IGI Global, 2020, pp. 97-113. https://doi.org/10.4018/978-1-5225-7793-5.ch005

APA

Habib, M. K. (2020). Robotics E-Learning Supported by Collaborative and Distributed Intelligent Environments. In M. Habib (Ed.), Revolutionizing Education in the Age of AI and Machine Learning (pp. 97-113). IGI Global. https://doi.org/10.4018/978-1-5225-7793-5.ch005

Chicago

Habib, Maki K. "Robotics E-Learning Supported by Collaborative and Distributed Intelligent Environments." In Revolutionizing Education in the Age of AI and Machine Learning, edited by Maki K. Habib, 97-113. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-5225-7793-5.ch005

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Abstract

Robotics e-learning environment that facilitates tailored learning for individual students studying robotics is developed. The developed collaborative and distributed intelligent environment (CoDIE) enables multi-users to access simultaneously remote and integrated mixed reality facilities through the web. The developed system constitutes a robotic center to help in transferring theoretical knowledge enhanced by simulation and practical experience. It enables realistic interaction by immersing users in a shared 3D CoDIE. The system enables users to do programming, simulations, experiments, manipulating data and objects, diagnostics and analyses, control and monitor actions. Also, users can receive feedback from the system or instructors. The developed system has been implemented and tested using two real manipulators and virtual robots supporting real-time tracking and simulation. Three modes of operations have been implemented, individual robot training mode through virtual robot models, multi-user mode working together, and individual or group-based training by instructor.

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