Abstract
In this paper, we propose a method of robot motion control for sidewalk in outdoor environment. We use Odometry for self-position acquisition. And GPS is used for self-position correction. Sensor data are united by Monte Carlo localization. The robot moves by using data of LRF. In advance, the robot has the map which has the position data about turning points. This method which we propose is applied to our robot. We clarify usefulness of this method through real world experiments and "Tsukuba Challenge".
