Abstract
The advent of the Novel Coronavirus brought about a multitude of challenges and the educational sector was severely impacted. The entire academic community had to adjust to the changed scenario and the online mode of delivery of educational content has been a mainstay, particularly in higher education. The concept of Telepresence provided a promise of meeting the challenges encountered and Mobile Telepresence Robots have donned the avatar for Telepresence. The prime challenge for these systems is being able to reproduce the ‘sense of being there’. This is a loaded term and encompasses many aspects like connectedness, immersive experiences, social presence, interaction effectiveness and communication effectiveness. Continuous development with incorporation of new technologies for Mobile Telepresence Robots is a pervasive phenomenon and therefore building a prototype that can continuously provide a test bed for experimental research is a need. With these drivers as a motivation, we present the development of a Mobile Telepresence Robot that is useful in the environment of educational institutions. The aim is to address aspects of telepresence and measure the effectiveness of some of the recent technologies which are deployed on the platform. We apportion functions to hardware and software, formulate a system architecture, and also describe the system usage scenarios. Some results from the experiments conducted with the platform are also presented and set the stage for future work with the platform.
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Kashi, R.N., Archana, H.R., Lalitha, S. (2023). Im-SMART: Developing Immersive Student Participation in the Classroom Augmented with Mobile Telepresence Robot. In: Muthusamy, H., Botzheim, J., Nayak, R. (eds) Robotics, Control and Computer Vision. Lecture Notes in Electrical Engineering, vol 1009. Springer, Singapore. https://doi.org/10.1007/978-981-99-0236-1_33
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DOI: https://doi.org/10.1007/978-981-99-0236-1_33
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