Mobile Robot Applications Grounded in Deep Learning Theories: A Review

The mobile robot technology occupies a wide space in surgical complex procedure, in particular the da Vinci System [1]. In addition, technological development is increasingly incorporated in our everyday lives. Several robots applications in education are mainly concerned with supporting the teaching of subjects directly related to the mobile robot field, such as mobile robot programming and construction [2]. Basically, the mobile robot navigation has been done by the Deterministic algorithm and Nondeterministic (Stochastic) algorithm. Nowadays, the hybridization of both the algorithms called as an Evolutionary algorithm is being used to solve the mobile robot navigation problem. The applications of the autonomous mobile robot in many fields such as industry, space, defence and transportation, and other social sectors are growing day by day [3]. However, exploring a wider range of possible applications of flexible robots has the potential to engage young people with a wider range of interests, as illustrated with experiences in subjects related to music and art. The main contribution of this survey is to systematically review relevant educational mobile robot experiences with theoretical support on tertiary education.