In this paper, a method of sensor fusion is presented, a hierarchical sensor fusion (HSF) method with fingerprint kNN and fuzzy features weighting to solve the problem of localization of a mobile robotic platform with sonars octagon, digital compass, and wireless network signal strength measure to determine the location of an autonomous mobile robot. The fingerprint technique has the goal of determining the robot localization in a map. A kNN matching algorithm is used in two main steps: training and positioning. For the improvement of features acquired from low cost sensors, used in the mobile robot platform, techniques were applied regarding the value of each feature weighting based on a fuzzy inference system and sensor availability in the matching algorithm. In brief, the HSF method proposed in this paper can determine the robot localization in the indoor environment, in different grid sizes, using low cost sensors.