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Artificial Vision system for differential multiples robots

机译:用于差分倍数机器人的人工视觉系统

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Multi-robot systems (MRS) have become a promising area in mobile robotics, in applications in which a coordinated action is required. This paper presents an Artificial Vision System (AVS) for a multi-robot platform, developed at the Universidad Nacional de Colombia (at Medellin) with academic and pedagogical aims. The artificial vision system may be viewed as a subsystem of the MRS and is composed by three basic elements: The environment, the camera, and the processing unit. The Artificial Vision System implements color spaces, threshold techniques, and noise elimination for obtaining in real time the relative positions of the robots in the working area. 200 instance images were used as testing set. The obtained algorithm is able to suitably eliminating image noise, and extracting and identifying labels of the robots for around 80% of the testing set. Beyond that, the implemented system may serve as an experimentation platform for subjects as diverse as image processing, control, instrumentation and robotics.
机译:多机器人系统(MRS)已成为移动机器人的有希望的区域,在需要协调行动的应用中。本文提出了一个用于多机器人平台的人工视觉系统(AVS),在纳卡尼亚德哥伦比亚(Medellin)发达,具有学术和教学目标。人工视觉系统可以被视为MRS的子系统,由三个基本元素组成:环境,相机和处理单元。人工视觉系统实现颜色空间,阈值技术和噪声消除,以实时获得工作区域中机器人的相对位置。 200实例图像被用作测试集。所获得的算法能够适当地消除图像噪声,并在约80%的测试集中提取和识别机器人的标签。除此之外,实施的系统可以用作作为图像处理,控制,仪器和机器人的受试者的实验平台。

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