An interactive ball training partner robot based on YOLOv5
In order to solve the problem of insufficient human-computer interaction ability of ball training partner robots, a new human-computer interaction mode based on Raspberry Pi and YOLOv5 algorithm was proposed, which enabled the robot to realize six different actions: forward, backward, left, right, t...
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Main Authors: | Zeng Yangji, Liu Zihong, Cai Yong, Guo Xingchen, Mo Jinlong |
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Format: | Article |
Language: | Chinese |
Published: |
National Computer System Engineering Research Institute of China
2022-01-01
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Series: | Dianzi Jishu Yingyong |
Subjects: | |
Online Access: | http://www.chinaaet.com/article/3000145083 |
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