Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : June 05, 2019 - June 08, 2019
A guide service robot is required to move on any obstacles ground with adequate controlled behavior in indoor environment. This study aims at acquiring autonomous behavior for such a guide service robot by physically modeled simulation. This guide service robot is modeled by use of the physical engine (PhysX) in a virtual environment. We use neuro-evolution to have the guide service robot acquire autonomous behavior. Namely, the guide service robot behavior is controlled by an artificial neural network (ANN). The ANN is evolved to let it learn proper behavior by evolutionary computation (GA). Simulation results verify that the guide service robot can acquire autonomous behaviors.
