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This paper uses the patent data of China HowNet and the SOOPAT patent database, uses patent maps as an analysis method, and uses life cycle theory and Logistic models to analyze and process key patents related to domestic and foreign educational robots and to make the key to domestic and foreign educational robots. The life cycle prediction research of the technology shows that the key technical fields of educational robots in the world have passed the nascent stage, and the key technologies of educational robots such as artificial intelligence, interactive technology, and manipulators are rapidly developing and are in a high-growth stage.

Key Technology Prediction and Strategic Analysis of Educational Robots Based on Patent Map Analysis