Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : June 01, 2022 - June 04, 2022
As the demand for autonomous mobile robots has increased in recent years, they are required to operate in a variety of environments, and they need to travel an appropriate path according to the environment. One of the indicators is the road surface condition. In this research, we use RNN to discriminate the road surface condition based on the acceleration time series data of the autonomous mobile robot in the vertical direction. By adding the discriminative information to the environment map, the robot is expected to travel on an appropriate route. We believe that this system can contribute to the operation in various environments.
