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Environment Mapping with Mobile Robot Guided by a Markers Vision System

机译:用标记视觉系统引导的移动机器人的环境映射

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A Markers vision system is a set of infrared cameras capable to distinguish little spheres made of reflective material. These systems usually have been employed to study bio-mechanical processes, and as a tool for animating characters in virtual worlds, for instance in animated movies and video games. In this work, this tool is used as a positioning system for a mobile robot in a closed room. The robot is a prototype made over Arduino, it consist of a two motor control provided with a proximity sensor for monitoring the space around. The control of this robot was designed to be automatic, in other words it is conditioned to walk in a delimited space and to report the objects found in its way. To control the mobile robot, an algorithmic framework was built in Matlab. The idea with this framework is to receive the data obtained by the motion capture system to locate the robot in the delimited area. Otherwise, the framework is used to build the virtual map of the place and to produce the control orders to guide the robot. The aim of this work is to evaluate a set of strategies for environment mapping and the performance of the robot in the identification of the hidden space and its reconstruction in a virtual representation. In the other hand, this work is used to teach techniques of artificial vision, algorithm writing, digital signal processing and control to undergraduate students. Furthermore, this project is proposed to identify new lines in mobile robots research and in the development of automatic machines that works in cooperative schemes.
机译:标记Vision系统是一组用于区分由反射材料制成的小球体的红外相机。这些系统通常已被用于研究生物机械过程,并作为动画虚拟世界中字符的工具,例如在动画电影和视频游戏中。在这项工作中,该工具用作在关闭室中的移动机器人的定位系统。机器人是在Arduino上制作的原型,由两个电动机控制器组成,该电动机控制具有用于监视周围的空间的接近传感器。该机器人的控制被设计为自动,换句话说,它被调节在分隔的空间中行走,并报告以其方式找到的对象。为了控制移动机器人,在MATLAB中建立了算法框架。该框架的想法是接收由运动捕获系统获得的数据来定位分隔区域中的机器人。否则,该框架用于构建该地点的虚拟地图,并生成控制订单以指导机器人。这项工作的目的是评估一组环境映射的策略以及机器人在识别隐藏空间和虚拟表示中的重建中的性能。另一方面,这项工作用于教导人工视觉,算法写作,数字信号处理和控制到本科生的技术。此外,建议该项目识别移动机器人研究中的新行,以及在合作方案中工作的自动机器的开发。

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