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Prediction of Technology Trend of Educational Robot Industry Based on Patent Map Analysis

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIOT 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1283))

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Abstract

This paper starts with the research of the education robot industry, conducts a detailed investigation, analysis and summary from the theory, analysis method and application of education robot, patent map research at home and abroad and other aspects. By collecting relevant patents of educational robots at home and abroad, the research status of educational robots is understood. Apply the research of patent map to the education robot technology, modify and supplement the existing patent map appropriately, dig the related patent literature of education robot deeply, draw the detailed patent map of education robot at home and abroad, and analyze it. This paper summarizes the research on hot technology of educational robot, explores the key technology of educational robot, and predicts the life cycle of key technology, so as to predict the key technology and hot technology of educational robot.

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Acknowledgement

Jilin Science and Technology Development Project 《Patent analysis and strategic research of educational robot》 (Project number: 20190802025ZG).

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Correspondence to Yue Wu .

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Wu, Y., Fang, J. (2021). Prediction of Technology Trend of Educational Robot Industry Based on Patent Map Analysis. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1283. Springer, Cham. https://doi.org/10.1007/978-3-030-62746-1_22

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