# MAVROS

mavros (opens new window) is a ROS (1) package that enables MAVLink extendable communication between computers running ROS (1) for any MAVLink enabled autopilot, ground station, or peripheral. MAVROS is the "official" supported bridge between ROS (1) and the MAVLink protocol.

While MAVROS can be used to communicate with any MAVLink-enabled autopilot, this documentation explains how to set up communication between the PX4 Autopilot and a ROS (1) enabled companion computer.

提示

The easiest way to setup PX4 simulation with ROS on Ubuntu Linux is to use the standard installation script that can be found at Development Environment on Linux > Gazebo with ROS.

ROS 代码库有针对 Ubuntu x86、amd64 (x86_64) 和 armhf (ARMv7) 的二进制安装包。 Kinetic 同样支持 Debian Jessie amd64 和 arm64(ARMv8)。

注意

Note The PX4 development team recommend that all users upgrade to ROS 2. This documentation reflects the "old approach".

# 安装

# Installation

MAVROS can be installed either from source or binary. We recommend that developers use the source installation.

提示

These instructions are a simplified version of the official installation guide (opens new window). They cover the ROS Melodic release.

# 二进制安装 (Debian/Ubuntu)

The ROS repository has binary packages for Ubuntu x86, amd64 (x86_64) and armhf (ARMv7). Kinetic also supports Debian Jessie amd64 and arm64 (ARMv8).

如果这是你第一次使用wstool你需要初始化你的代码文件夹。

sudo apt-get install ros-kinetic-mavros ros-kinetic-mavros-extras

Then install GeographicLib (opens new window) datasets by running the install_geographiclib_datasets.sh script:

wget https://raw.githubusercontent.com/mavlink/mavros/master/mavros/scripts/install_geographiclib_datasets.sh
./install_geographiclib_datasets.sh   

# 源码方式安装

This installation assumes you have a catkin workspace located at ~/catkin_ws If you don't create one with:

mkdir -p ~/catkin_ws/src
cd ~/catkin_ws
catkin init
wstool init src

You will be using the ROS Python tools: wstool (for retrieving sources), rosinstall, and catkin_tools (building) for this installation. While they may have been installed during your installation of ROS you can also install them with:

sudo apt-get install python-catkin-tools python-rosinstall-generator -y

提示

While the package can be built using catkin_make the preferred method is using catkin_tools as it is a more versatile and "friendly" build tool.

If this is your first time using wstool you will need to initialize your source space with:

$ wstool init ~/catkin_ws/src

Now you are ready to do the build

  1. 安装Mavlink
    安装Mavlink 
      # We use the Kinetic reference for all ROS distros as it's not distro-specific and up to date
      rosinstall_generator --rosdistro kinetic mavlink | tee /tmp/mavros.rosinstall
    
  2. 安装MAVROS最新的版本:
    • 发行版 / 稳定版
      最新源码 
       sh
       rosinstall_generator --upstream-development mavros | tee -a /tmp/mavros.rosinstall
      
    • Latest source
      rosinstall_generator --upstream-development mavros | tee -a /tmp/mavros.rosinstall
      
      sh
      

# For fetching all the dependencies into your catkin_ws,

# just add '--deps' to the above scripts, E.g.:

# rosinstall_generator --upstream mavros --deps | tee -a /tmp/mavros.rosinstall

 ```
  1. 创建工作区 & 安装依赖
    wstool merge -t src /tmp/mavros.rosinstall
    

wstool update -t src -j4 rosdep install --from-paths src --ignore-src -y


1. 安装 [GeographicLib](https://geographiclib.sourceforge.io/) 数据集:

./src/mavros/mavros/scripts/install_geographiclib_datasets.sh


1. 构建源码

catkin build


1. 确保从工作区中使用 setup. bash 或 setup. zsh。

#Needed or rosrun can't find nodes from this workspace. source devel/setup.bash source devel/setup.bash


In the case of error, there are addition installation and troubleshooting notes in the [mavros repo](https://github.com/mavlink/mavros/tree/master/mavros#installation).

## MAVROS Examples

The MAVROS [Offboard Control example](../ros/mavros_offboard.md), will show you the basics of MAVROS, from reading telemetry, checking the drone state, changing flight modes and controlling the drone.

:::note
If you have an example app using the PX4 Autopilot and MAVROS, we can help you get it on our docs.
:::