ROS(七):使用rviz控制Jaka-Minicobo

本文详细指导如何在Windows环境中利用VMware安装Ubuntu并配置ROS,包括VMwareTools安装、Ubuntu与Windows间文件交互、ROS包的安装和测试,以及JakaMicuboSimEnv的设置过程。

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 在Windows环境下,安装在VMware中及Ubuntu的具体步骤可以看此篇博客:ROS(一):在Windows环境下,安装在VMware中及Ubuntu

在虚拟机中安装VMware Tools的具体步骤可以看此篇博客:ROS(二):在虚拟机中安装VMware Tools

Ubuntu与Windows之间的复制粘贴、文件拖拽的具体步骤可以看此篇博客:ROS(三):Ubuntu18.04实现与Windows之间的复制粘贴、文件拖拽 

 ROS安装的具体步骤可以看此篇博客:ROS(四):ROS安装 

终端安装的具体步骤可以看此篇博客:ROS(五):终端安装

测试虚拟机中ROS环境是否完整的具体步骤可以看此篇博客:ROS(六):测试虚拟机中ROS环境是否完整

1、把Jaka-Minicobo-Sim-Env-master压缩包复制到主目录中

 2、提取压缩包里面的内容

 3、打开该文件的终端

 4、分别安装下面依赖

(1)sudo apt install ros-melodic-moveit-ros-visualization

 (2)sudo apt install ros-melodic-joint-trajectory-controller

(3)sudo apt install python-pip

(4)pip install pyrealsense2 -i https://pypi.tuna.tsinghua.edu.cn/simple(使用清华源)

 5、运行

(1)roslaunch jaka_minicobo_moveit_config demo_mini_cam.launch

(2)roslaunch jaka_sim_env pathplan.launch

 6、最终结果

### ROS Noetic RVIZ PointCloud Saver Plugin Documentation and Usage In the context of working with ROS Noetic, RVIZ serves as a powerful visualization tool that supports various plugins to extend its functionality. Among these is the `PointCloud Saver` plugin which allows users to save point cloud data visualized within RVIZ for further analysis or processing. To integrate this feature into projects effectively: #### Installation Requirements Ensure all necessary packages are installed on your system by executing commands similar to those used for installing other components like URDF modeling tools[^3]. For specific support regarding saving point clouds from RVIZ, ensure installation includes relevant libraries such as PCL (Point Cloud Library)[^5]. ```bash sudo apt-get update && sudo apt-get install ros-noetic-pcl-ros ``` This command installs essential dependencies required for handling point cloud operations including saving them through RVIZ interfaces. #### Configuration Steps After ensuring proper setup, configuring RVIZ involves adding custom panels where one can find options related to managing point clouds directly inside the application interface. The process typically requires loading configurations either via launch files or manually setting up display types alongside their parameters. For utilizing the `PointCloud Saver`, add it under 'Panels' after launching RVIZ using methods described previously[^2]: 1. Launch RVIZ. 2. Go to Panels -> Add New Panel... 3. Select `PointCloud Saver`. Once added, configure settings according to project needs before initiating any capture sessions. #### Saving Point Cloud Data With everything configured correctly, capturing point cloud snapshots becomes straightforward once you have selected areas of interest displayed in RVIZ. Utilize controls provided within the newly created panel to specify file paths along with formats supported when exporting collected information outside RVIZ environment. It's important to note while no direct mention exists about detailed documentation specifically targeting how exactly implementers should go about leveraging built-in capabilities offered by `PointCloud Saver` during development phases; understanding general practices around integrating third-party extensions into RVIZ could provide valuable insights towards achieving desired outcomes efficiently.
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