A proposal for an online imitation method of path-tracking behavior by end-to-end learning of vision and action

- Adding function of selecting path -

Abstract

We have proposed an online imitation method for path-following behavior based on end-to-end learning of vision and action. However, the proposed method aims to follow a fixed path and cannot dynamically select a path to make a robot move to a destination. In this study, we add a function to select a path to the method so that the robot can move to an arbitrary destination. We introduce the online imitation learning method with the additional function of selecting a path, and then verify whether the system can select a path by experiments using a simulator.