Towards adaptive cloud-based platform for robotic assistants in education
Gergely Magyar, Tomáš Cádrik, Mária Virčíková, Peter Sinčák
- Year
- 2014
- Citations
- 7
Abstract
This paper introduces a cloud based web application for educational purposes using the humanoid robot NAO. The application is based on the Google App Engine, which is part of the Google Cloud Platform. The proposed solution is tailored for NAO humanoid platform, and basic research has been also accomplished in enhancing a human robot interaction. Emotional component of robot synthetic emotions are being investigated for interaction including fuzzy based Plutchik emotion model. The Emotions should increase an effectiveness of the teaching procedure and also simple logical evaluation as Learning Effectiveness coefficient is designed to evaluate an overall NAO Teacher. The Cloud based database contains various educational approaches developed for NAO robot as interface. The overall goal is not to replace a teacher but create an environment which will support the idea “Learning by Gaming” in sense to improve the speed and quality of learning a procedure.
Keywords
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