The review of dyslexic humanoid robotics for reinforcement learning

The research focuses on students with Dyslexia in higher education and the support. Additionally, this will include support for their learning for e-learning or face to face lectures. The problem statement for this research is It has been shown that students with Dyslexia benefit from a support system, could the conceptual design of introducing a Humanoid Robot as a support assistant and companion give a personal aspect to the student as well as have an enhanced impact on the student. This could also benefit lecturers who may lack an understanding of Dyslexia and the support it requires. The purpose of this research is to help support students with Dyslexia with their learning using a robot with reinforcement learning techniques. As there are six different types of Dyslexia, research has shown that universities, do not currently have the resources or the support available to help support the students. There is support available however, it is not enough to cater to the six different types of Dyslexia (Zoubrinetzky, Bielle and Valdois, 2014). A robot could be used as a support assistant to help improve the support resources within the university and enable the university to cater to the different types. The key purpose of this paper is to report the review of the conceptual design and preliminary framework with reinforcement learning. The methods and findings of this research will be reviewing current literature surrounding educational robotics and dyslexia, reinforcement learning and e-learning.