Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : May 10, 2017 - May 13, 2017
In this study, we are developing an autonomous moving robot for labor-saving in forest industry. Traditional forest management and maintenance consumes excessive labor time, and place large labor burden on the workers. In this study, we are considering about a self-localization method in a mountain forest fields, this is to increase the efficiency of task by the robot. In our localization system, the Monte Carlo Localization is applied, and a triangle pattern constructed by a trees coordinate is used as observation vectors. Finally, we experimented the self-localization using proposed method, and confirmed effectiveness of it.
