バイオリン演奏ロボットの運弓動作の自動決定

—楽曲の種類とテンポによる報酬の相違—

抄録

Playing the violin is one of the important methods for expressing emotion for robots. In this study, we focused on the violin, and aimed to develop a system that automatically determines the bow movement from musical scores. We adopted Q-learning and ε-greedy method with a value function approximation by neural network. We adopted a different formula for calculating the rewards from our previous studies. We selected three musical pieces and several BPM values. As a result of the simulation, for all the musical pieces, there were more positive rewards than negative ones.