基于旋转编码器、IMU和ROS的建筑区域配送机器人定位设计与实现

Putu Duta Hasta Putra, Moch I. Riansyah, Ardiansyah Al Farouq
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引用次数: 0

摘要

开发送货服务机器人需要一个精确的定位系统,将送货对象送到正确和适当的位置。需要对机器人进行定位,以确定其在预定点的位置和位移。要进行定位,需要精确的传感器和适当的算法来进行定位。定位方法仅使用一个旋转编码器传感器来确定定位精度,很难得到定位精度。因此,有必要组合传感器并获得正确的算法来获得定位精度,使用旋转编码器和IMU传感器的组合使用EKF算法和机器人操作系统可以更容易地进行通信,构建机器人和配置设置。从使用旋转编码器传感器进行线性运动时的测试结果来看,平均误差结果为0.89602 m,使用组合传感器时,旋转编码器与IMU之间的平均误差结果为0.85951 m。通过使用组合传感器,已经证明了这些传感器组合产生的距离误差较小,因此当使用组合传感器时,机器人在移动时的精度水平很小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Localization Design and Implementation Using Combined Rotary Encoder, IMU, and ROS on Delivery Service Robots in Building Area
Developing delivery service robots requires an accurate localization system to send delivery objects to the right and appropriate locations. Localization of the robot is needed to determine its position and displacement at the intended point. To perform localization, precise sensors and appropriate algorithms are required to perform localization. Using localization only determines precision using one rotary encoder sensor, it is tough to get localization precision. Therefore, it is necessary to combine sensors and get the right algorithm to get localization precision, using a combination of Rotary Encoder and IMU sensors using EKF algorithms and robot operating system makes it easier in communicating, build a robot, and configure the setup. From the result of the tests carried out when moving linearly using a Rotary Encoder sensor, the average error result is obtained as 0.89602 m, and the result when using a combined sensor, between the rotary encoder and IMU, the average error results obtained are 0.85951 m. By using a combined sensor, it has been proven that the combination of these sensors produces a smaller distance error, so that when using a combined sensor the robot's precision level when moving is very small.
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