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Range sensors are commonly used for mobile robots in order to avoid collision with obstacles and build an environmental map. Unless the robot uses an external localization device, the dead-reckoning alone incurs the accumulated position errors. This paper presents an algorithm for the position error correction. Edges and nodes are identified from the range sensor information; using the identified feature points the dead-reckoning error becomes smaller. More accurate map is built while the positional error is being reduced. The proposed algorithm is implemented on a map building device and shows the effectiveness of the proposed algorithm.