Positioning educational robots in the indoor ambiance is an important and basic function for robots to provide intelligent educational services for users, and it is still an open challenge problem. This paper proposes to position indoor robots by using fingerprints of wireless fidelity (WiFi) and radio-frequency identification (RFID) array in the complementary way. The fingerprint of WiFi is first used to position educational robots (Erob) in a large area and to guide robots to a place close to the target location. Then, the fingerprint of RFID array is used to guide Erob to the target location with a small discrepancy. It proved that the designed layouts of WiFi devices and RFID array can have fingerprint matching to estimate the position of Erob. The proposed positioning method can guide Erob to the target location fast and accurately so that robots can provide multiple services based on it.

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Abstract. In order to allow educational robot to provide better service indoor activities scenario, it is necessary to know the position of the robot. This paper puts forward the WiFi fingerprint positioning method based on wireless routing technology, which solves the positioning of educational robot in complex environment. In view of the indoor positioning research, many researchers are limited to the pursuit of the positioning accuracy, but environment construction and data collection are not comprehensive study. The paper uses WiFi fingerprint positioning and other technical means to solve the indoor multi-scenario positioning for educational robot, just for educational robot can provide education services for us.

Abstract. Communication positioning has a significant application in modern life. The positioning of communication terminals is divided into two categories: outdoor localization and indoor localization. At present, many researchers are limited to the pursuit of positioning accuracy, so they rarely carry out a comprehensive study, such as the positioning objects, environmental construction and data acquisition etc., which leads to a reduction in the value of the applications. In the paper, our research object is based on the education robot, whose active scenario is indoor, using WiFi fingerprint positioning technology, Aps layout and RSS data acquisition and process under the offline environment, which facilitates the further research about online stage in the later. In the study, the APs were arranged in a regular hexagonal honeycomb, rational use and clustering signals, which solves the strong interference between APs and improves the usability of the signals.