With the rapid progress and development of modern information technology, deep learning and other science and technology, as well as the wide application of Internet of things technology in China, intelligent robot has become the subject and focus of attention needed by various major research departments. The progress and development of intelligent robot technology will bring unprecedented threat and influence to the whole human and social development in the next few years, making more human survive and extricate themselves from the simple and heavy physical labor, and promoting the improvement and development of the whole society and productivity. This paper focuses on the application of intelligent robot technology in sports, and knows the development trend of sports in the future. In this paper, the application of intelligent robot in football is used to reflect the technology and problems needed by future sports. While learning the traditional robot environment perception technology and robot autonomous learning technology, such as robot ranging technology, target object perception and recognition technology, aiming at the design and implementation of robot system architecture, environment perception and modeling, object recognition, robot human action learning and other issues, this paper designs and implements a system that is helpful for robot decision-making and execution. In this paper, through the test of the system, it is found that the static ranging error of the ranging model within 4 meters is less than 3%. The average speed of the intelligent soccer robot forward 4 meters is 0.15 meters per second, the average speed of backward 3 meters is 0.1 meters per second, and the average speed of traverse 3 meters is 0.06 meters per second. All of these can meet the actual needs, which shows that the system has a good role in promoting the development of sports in the future.

Cheng Zhou, Chenhui Pei. The Future Training of Sports Intelligent Robot Technology. International Journal of Frontiers in Sociology (2021), Vol. 3, Issue 13: 7-13. https://doi.org/10.25236/IJFS.2021.031302.

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