2D map creator for robot navigation by utilizing Kinect and rotary encoder

R. Mardiyanto, J. Anggoro, F. Budiman
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引用次数: 13

Abstract

2D map creator for robot navigation is used for robot to move around the surrounding without any collision. Typical robot navigation is relied on ultrasonic sensor as well as rotary encoder. In this paper, we present 2D map creator system for robot navigation based on Kinect device and rotary encoder. 2D map creator system allows robot for self-mapping the surrounding area while robot is moving around. The output is a 2-dimensional (2D) map representing areas that have been passed by the robot. Next, the map is used by robot to return to home automatically. Moreover, we present a technique in map creator system for robot navigation. The Kinect device and rotary encoder are placed on the robot. The depth image is utilized to distinguish between obstacle and non-obstacle object. The combination between depth image and rotary encoder produce a 2D map used for robot navigation. We use Djikstra algorithm for calculating the shortest way between robot positions and home position. Our system has been tested under laboratory environment. The effective distance range is 60 to 600 Cm. Our rotary encoder sensor is also successfully realized and has average error 5.05%. Our 2D map creator required 1.46 second for every creating map at one location. Also, it has 2.23% of error distance on 2D map. All experiment results show that our 2D map creator is ready for performing return to home automatically.
利用Kinect和旋转编码器为机器人导航创建2D地图
用于机器人导航的2D地图创建器,用于机器人在周围环境中移动而不发生碰撞。典型的机器人导航是依靠超声波传感器和旋转编码器。本文提出了一种基于Kinect设备和旋转编码器的机器人导航二维地图生成系统。2D地图创建系统允许机器人在移动时自行绘制周围区域的地图。输出是一个二维(2D)地图,表示机器人经过的区域。接下来,机器人利用地图自动回家。此外,我们还提出了一种用于机器人导航的地图生成系统技术。Kinect设备和旋转编码器安装在机器人身上。利用深度图像来区分障碍物和非障碍物物体。将深度图像与旋转编码器相结合,生成用于机器人导航的二维地图。我们使用Djikstra算法来计算机器人位置和主位置之间的最短路径。我们的系统已经在实验室环境下进行了测试。有效距离范围60 ~ 600cm。我们的旋转编码器传感器也成功实现,平均误差为5.05%。我们的2D地图创建器在一个位置创建每张地图需要1.46秒。在二维地图上的误差距离为2.23%。所有实验结果表明,我们的2D地图生成器已经准备好执行自动回家。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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