移动机器人
稳健性(进化)
机器人
职位(财务)
磁道(磁盘驱动器)
计算机科学
模拟
过程(计算)
端口(电路理论)
电动汽车
汽车工程
工程类
人工智能
电气工程
生物化学
化学
功率(物理)
物理
财务
量子力学
经济
基因
操作系统
出处
期刊:2021 2nd International Conference on Computing and Data Science (CDS)
日期:2021-01-01
卷期号:: 19-26
被引量:15
标识
DOI:10.1109/cds52072.2021.00011
摘要
With the continuous advancement of new energy technologies, although the market share of electric vehicles has gradually increased in recent years, due to the problem of charging time, it is difficult to charge electric vehicles. So far, there are no robots on the market that can automatically complete the charging process for different models, because a single robotic arm can only insert and remove the charging gun at a fixed position, and the charging port position of different models is different. This paper proposes a mobile robot charging system based on computer vision, which consists of a rail and a mobile robot equipped with a mechanical arm. First, the vehicle model is judged by the camera mounted on the mobile robot, the corresponding position of the charging port is found on the track, and then the robot is moved to this position, and the insertion and removal of the charging gun is completed through the camera and the mechanical arm. This system has verified the feasibility and the robustness of the algorithm through visual recognition and prototype testing.
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