MATLABと船舶ロボットを用いた機械学習教育について

抄録

It is not always possible for students who have learned machine learning in lectures to apply machine learning techniques to solve problems in the real field. Problems in the real field have various external factors and cannot be solved as easily as the machine learning practice problems dealt with in class. To fill this gap, this paper proposes an educational program that applies machine learning to problems close to real field problems. This educational program applies machine learning methods to the problem of autonomous navigation of a ship robot in a real sea area with many disturbances. For students to learn efficiently, the development platform is unified with MATLAB in this educational program.