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In order to explore the application of IoT technology in robots and the promotion of IoT robot technology to the economy, by comparing traditional technology and IoT intelligent robot technology, this article combines it with economic development to analyze the promotion of IoT robot to economic development. Based on the ultra-wideband ranging method, this paper designs an ultra-wideband radio frequency positioning system and applies it to the robot’s positioning process. Moreover, this article combines the application of robots in the current social and economic development to construct the system structure, and conducts functional analysis with manufacturing robots and monitoring robots as the main body. After constructing an intelligent robot based on the Internet of Things technology, by comparing the traditional technology and the intelligent robot technology of the Internet of Things, this article combines it with economic development to analyze the promotion of IoT robot to economic development. From the analysis results of this article, it can be seen that the advancement of IoT robot technology can effectively promote economic development.
This paper introduces the application of the urban taxi ownership forecasting algorithm based on chaotic neural networks. The details of the entire process of its application to urban taxi ownership forecasting algorithm of a certain city are described, including selection and processing of study objects, chaotic characteristics of time series judgment, establishing and training of networks, and the final results of the simulation. The practical shows that the method can make reasonable short-term prediction, provides reasonable theoretical basis to urban taxi development scale.