{"id":13182,"date":"2021-01-04T15:55:55","date_gmt":"2021-01-04T06:55:55","guid":{"rendered":"https:\/\/lp-research.com\/?p=13182"},"modified":"2021-05-31T00:36:34","modified_gmt":"2021-05-30T15:36:34","slug":"connect-lp-motion-sensor-imu-to-robot-operating-system-ros","status":"publish","type":"post","link":"https:\/\/www.lp-research.com\/ja\/connect-lp-motion-sensor-imu-to-robot-operating-system-ros\/","title":{"rendered":"How to Connect an LP-Research IMU to ROS (Update)"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row][vc_column][vc_column_text]<\/p>\n<h2>Introduction<\/h2>\n<p>This article describes how to connect an LP-RESEARCH inertial measurement unit (IMU) using a Robot Operating System (ROS) node. We are happy to announce that our IMU ROS sensor driver has been accepted into the official ROS package repository. The <a href=\"https:\/\/www.ros.org\/\"><u>Robot Operating System<\/u><\/a>, or ROS in short, is an open-source de-facto standard for robotics sensing and control.<\/p>\n<p>With the package <a href=\"http:\/\/wiki.ros.org\/openzen_sensor\" rel=\"noopener\" target=\"_blank\"><u>openzen_sensor<\/u><\/a> now provided as part of the ROS distribution Melodic Morenia it just became a whole lot easier to use our sensors in robotic applications.<\/p>\n<p><strong>Note:<\/strong> This article covers our node for ROS 1. Please see further information regarding our ROS 2 node at the end of this article. This post is a follow-up to our <a href=\"https:\/\/lp-research.com\/ros-and-lp-research-imus-simple\/\"><u>previous ROS driver release<\/u><\/a>.<\/p>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<\/p>\n<h2>Published ROS Topics<\/h2>\n<p>These are the ROS topics which are published by the OpenZen ROS driver:<\/p>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1622388710042{margin-top: 0px !important;margin-bottom: 0px !important;border-top-width: 0px !important;border-bottom-width: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}&#8221;][vc_column width=&#8221;1\/3&#8243;][vc_column_text]<\/p>\n<p><strong>Message<\/strong><\/p>\n<p>[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_column_text]<strong>Type<\/strong><br \/>\n[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_column_text]<strong>Description<\/strong>[\/vc_column_text][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1622388729049{margin-top: 0px !important;margin-bottom: 0px !important;border-top-width: 0px !important;border-bottom-width: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}&#8221;][vc_column][vc_separator][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1622388655586{margin-top: 0px !important;margin-bottom: 0px !important;border-top-width: 0px !important;border-bottom-width: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}&#8221;][vc_column width=&#8221;1\/3&#8243;][vc_column_text]\/imu\/data<br \/>\n[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_column_text]<\/p>\n<p><a href=\"http:\/\/docs.ros.org\/api\/sensor_msgs\/html\/msg\/Imu.html\"><u>sensor_msgs\/Imu<\/u><\/a><\/p>\n<p>[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_column_text]Inertial data from the IMU. Includes calibrated acceleration, calibrated angular rates and orientation. The orientation is always unit quaternion.[\/vc_column_text][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1622388729049{margin-top: 0px !important;margin-bottom: 0px !important;border-top-width: 0px !important;border-bottom-width: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}&#8221;][vc_column][vc_separator][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1622388664624{margin-top: 0px !important;margin-bottom: 0px !important;border-top-width: 0px !important;border-bottom-width: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}&#8221;][vc_column width=&#8221;1\/3&#8243;][vc_column_text]\/imu\/mag[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_column_text]<\/p>\n<p><a href=\"http:\/\/docs.ros.org\/melodic\/api\/sensor_msgs\/html\/msg\/MagneticField.html\"><u>sensor_msgs\/MagneticField<\/u><\/a><\/p>\n<p>[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_column_text]Magnetometer reading from the sensor.<br \/>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1622388729049{margin-top: 0px !important;margin-bottom: 0px !important;border-top-width: 0px !important;border-bottom-width: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}&#8221;][vc_column][vc_separator][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1622388673617{margin-top: 0px !important;margin-bottom: 0px !important;border-top-width: 0px !important;border-bottom-width: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}&#8221;][vc_column width=&#8221;1\/3&#8243;][vc_column_text]\/imu\/nav<br \/>\n[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_column_text]<\/p>\n<p><a href=\"http:\/\/docs.ros.org\/en\/melodic\/api\/sensor_msgs\/html\/msg\/NavSatFix.html\"><u>sensor_msgs\/NavSatFix<\/u><\/a><\/p>\n<p>[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_column_text]Global position from a satellite navigation system. Only available if the IMU includes a GNSS chip.<br \/>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1622388729049{margin-top: 0px !important;margin-bottom: 0px !important;border-top-width: 0px !important;border-bottom-width: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}&#8221;][vc_column][vc_separator][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1622388682787{margin-top: 0px !important;margin-bottom: 0px !important;border-top-width: 0px !important;border-bottom-width: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}&#8221;][vc_column width=&#8221;1\/3&#8243;][vc_column_text]\/imu\/is_autocalibration_active<br \/>\n[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_column_text]<\/p>\n<p><a href=\"http:\/\/docs.ros.org\/api\/std_msgs\/html\/msg\/Bool.html\"><u>std_msgs\/Bool<\/u><\/a><\/p>\n<p>[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_column_text]<\/p>\n<p>Latched topic indicating if the gyro autocalibration feature is active.<\/p>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<\/p>\n<h2>Installation of the LPMS ROS Driver<\/h2>\n<p>All that&#8217;s needed is to install the package openzen_sensor via your Linux distribution&#8217;s package manager. In Ubuntu, with the ROS Melodic Morenia distribution installed, use the following command:<\/p>\n<pre class=\"\">apt install ros-melodic-openzen-sensor<\/pre>\n<p>Once the IMU ROS driver package is installed, we use the following command to start the OpenZen node:<\/p>\n<pre class=\"\">rosrun openzen_sensor openzen_sensor_node<\/pre>\n<p>This will automatically connect to the first available IMU and start streaming its accelerometer, gyroscope and magnetometer data to ROS. If your sensor is equipped with a GPS unit, global positioning information will also be transferred to ROS.<\/p>\n<p>Once a sensor has been connected via the motion sensor driver, the data from the sensor is exported via ROS topics which can be consumed by other ROS components such as a navigation and path planning system.<\/p>\n<p>[\/vc_column_text][vc_column_text]<\/p>\n<p>Outputting IMU sensor values on the command line can now be easily done with:<\/p>\n<pre class=\"\">rostopic <span class=\"nb\">echo<\/span> \/imu\/data<\/pre>\n<p>and the data can be plotted with:<\/p>\n<pre class=\"\">rosrun rqt_plot rqt_plot \/imu\/data\/linear_acceleration<\/pre>\n<p>More information on the usage of the OpenZen IMU ROS driver can be found <a href=\"https:\/\/lpresearch.bitbucket.io\/openzen\/latest\/ros.html\"><u>in the repository of the driver<\/u><\/a>.<\/p>\n<p>[\/vc_column_text][vc_single_image image=&#8221;13995&#8243; img_size=&#8221;medium&#8221; alignment=&#8221;center&#8221;][vc_column_text]<\/p>\n<p>The image above shows an angular velocity output graph in the ROS MatPlot application from an <a href=\"https:\/\/lp-research.com\/9-axis-imu-with-gps-receiver-series\/\"><u>LPMS-IG1 sensor<\/u><\/a>.<\/p>\n<p>[\/vc_column_text][vc_column_text]<\/p>\n<h2>ROS 2 Release<\/h2>\n<p>We have recently released a ROS 2 version of our OpenZEN ROS node. The node is not part of an official ROS2 release yet, but it works well on the latest release Foxy. For surther information and source code see the <a href=\"https:\/\/bitbucket.org\/lpresearch\/openzenros2\/src\/master\/\" rel=\"noopener\" target=\"_blank\"><u>OpenZenROS2 repository<\/u><\/a>.<\/p>\n<p>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column][vc_column_text] Introduction This article describes how to connect an LP-RESEARCH inertial [&hellip;]<\/p>\n","protected":false},"author":11,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[4,48],"tags":[1538,39,85],"class_list":["post-13182","post","type-post","status-publish","format-standard","hentry","category-blog","category-product","tag-driver","tag-imu","tag-ros"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.1 (Yoast SEO v24.9) - 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