Voice-controlled Tea Pouring Robot Based on Machine Vision and Artificial Potential Field Method
Qibin Zhang, Qingyong Zhang, Huiwen Xia, Wenyi Tan, Jinyan Wang, Haifei Chi
- 发表年份
- 2020
- 引用次数
- 3
摘要
In this paper, according to the living standard of Chinese people, combined with artificial intelligence which is the frontier of modern Robotics, on the basis of machine vision and artificial potential field obstacle avoidance method, a tea serving robot is proposed. It has strong learning ability, high cost performance, high efficiency, high reliability, and can listen to commands and execute quickly. This project focuses on binocular recognition algorithm and artificial potential field algorithm, combined with the control of the mechanical arm, power source management, voice control, etc., and finally realize a complete set of voice-controlled tea robot system. It can not only meet the needs of people's life, but also liberate labor force and improve work efficiency. In the future, the robot can not only be used in daily life to provide special services for each family, but also be used in beverage shops, restaurants and other places to promote the development of China's service industry.
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