Abstract
A mobile robot must have functions of localization and mapping for navigation. In order to achieve these functions, SLAM algorithm is widely used. However, there are both of dynamic objects and static objects in living environments of human. It is necessary to extract only static objects for achievement of stable SLAM without effects from dynamic objects. In this paper, distributed laser range scanners in an intelligent space are used for SLAM algorithm. Grid maps generated by distributed laser range scanners are applied for removing dynamic objects from results measured by a LRF on a mobile robot.
