摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-调查人员发布了关于机器人的新报告。据来自匈牙利布达佩斯的新闻报道，由NewsRx记者研究称，“本文介绍了利用晚期st small You Only Look Once version 8-YOLOv8s卷积神经网络在电动汽车自动充电中的应用研究。”这项研究的财政支持者包括奥涅夫大学、乌纳瓦罗斯大学。新闻记者引用了奥兹大学的一句话：“基于深度学习的物体检测器的应用是机器人应用中一个新的和有意义的方面，因为它既是机器人一系列操作的初始步骤，也是机器人操作的基础步骤，”其目的是探测和探测车辆表面的充电插座。目的是使用REN拥有的可靠物体探测器，以确保部署的机器人视觉系统在工业环境中可靠和平稳地运行。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news reporting originating in Budapest, Hungary, by NewsRx journalists, research stated, "This paper introduces the utilization of the late st small You Only Look Once version 8 - YOLOv8s convolutional neural network in an automatic electric vehicle charging application study." Financial supporters for this research include Obuda University, University of D unaujvaros. The news reporters obtained a quote from the research from Obuda University, "Th e employment of a deep learning -based object detector is a novel and significan t aspect in robotic applications, since it is both, the initial and the fundamen tal step in a series of robotic operations, where the intent is to detect and lo cate the charging socket on the vehicle's body surface. The aim was to use a ren owned and reliable object detector to ensure the reliable and smooth functioning of the deployed robotic vision system in an industrial environment."
NETL
NSTL