1. Topic监视器(Topic Monitor):该插件用于监视ROS2的话题数据。我们可以通过该插件来查看话题的发布者、订阅者、消息类型以及实时数据。在插件栏中找到Topic监视器插件,将其拖动到rqt界面的工作区域。然后,通过插件的界面来选择所需的话题,并开始监视。 2.节点管理器(Node Manager):该插件用于管理ROS2系统中的节点...
rqt是一个通过界面来使用ROS的桌面框架,通过插件的方式来扩展相关功能. rqt插件可以单独使用,也可以在rqt框架里使用 rqt界面: 打开rqt rqt 如图: 包含多个插件类型 如图: 插件类型说明: Container #容器相关 Actions #动作相关, 比如查看动作类型 Configuration #配置相关, 比如配置动态参数 Debugging #调试相关, 比如...
消息类型浏览器Plugins -> Topics -> Message Type Browser 话题列表Plugins -> Topics -> Topic Monitor 绘制曲线图Plugins -> Visualization -> Plot 查看日志 rqt_console rosrun rqt_console rqt_console rosrun turtlesim turtlesim_node rostopic pub -r 1 /turtle1/cmd_vel geometry_msgs/Twist -- '[2....
生成的小乌龟在左下角 再选择菜单Plugins > Topics > Topic Monitor,就可以同时看到turtle1和turtle2这两个node了。 和官网不同,我这里很多node没有在rqt-> service node中出现,目前还不知道是什么BUG。
话题列表Plugins -> Topics -> Topic Monitor绘制曲线图Plugins -> Visualization -> Plot查看日志 rqt_consolerosrun rqt_console rqt_console rosrun turtlesim turtlesim_node rostopic pub -r 1 /turtle1/cmd_vel geometry_msgs/Twist -- '[2.0, 0.0, 0.0]' '[0.0, 0.0, 0.0]' ...
Introspection / Process Monitor 这个插件可以看到所有与ROS2相关的进程 Topic/ Message Publisher 可以图形化发布话题数据 Service /Service Caller 图形化调用服务工具 Visualization / Image View 看图像话题数据的Image View Visualization / MatPlot 话题数据图形化工具MqtPlot,小鱼就是用这个工具来调PID的 Configuration...
I am using rqt on a virtualized Xubuntu 22.04 with ROS2 Humble and see topics listed, but can not select them for plotting (observed on several different installations): the '+' button is greyed out... I activated debugging but got no hi...
ros-humble-rqt-bag ros-humble-rqt-image-overlay-layer ros-humble-rqt-robot-monitor ros-humble-rqt-bag-plugins ros-humble-rqt-image-view ros-humble-rqt-robot-steering ros-humble-rqt-common-plugins ros-humble-rqt-image-view-dbgsym ros-humble-rqt-runtime-monitor ...
ros-humble-rqt-bag ros-humble-rqt-image-overlay-layer ros-humble-rqt-robot-monitor ros-humble-rqt-bag-plugins ros-humble-rqt-image-view ros-humble-rqt-robot-steering ros-humble-rqt-common-plugins ros-humble-rqt-image-view-dbgsym ros-humble-rqt-runtime-monitor ...
As you saw in this post, using rqt_plot is not that hard, and you can easily plot one or multiple topic data (only numbers). This can be really useful for debugging, for example if you want to monitor a position drift on a robot wheel, or if you want to compare two data streams...