Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : June 06, 2021 - June 08, 2021
This paper presents a navigation selection method for planetary rover. Since it is impossible for operator to control rover remotely due to communication constraints, the rover is required to have the ability to navigate itself to the destination. However, the detailed mode of each navigation function needs to be set by operators, and human intervention is required every time environment changes. In order to realize more efficient exploration, it is necessary for the rover itself to select a navigation mode adapted to the environment. This paper proposes a method to select an appropriate navigation mode from images taken by rover using deep learning, and evaluates the validity of the proposed method.
