MQTT & micro-ROS: Building Efficient Robotics Applications

What is micro-ROS?

In the previous MQTT & FreeRTOS: Building Your Real-Time Remote Control Application, we introduced how to build your MQTT application in FreeRTOS.

FreeRTOS and other RTOS are mainly used in scenarios with high real-time requirements. However, these RTOSes focus on providing basic features such as real-time task scheduling and synchronization mechanisms but lack support for advanced features like machine vision, map modeling, and path planning required by robotics applications.

ROS 2, an open-source robotics operating system with a rich ecosystem, is often the preferred choice for robotics application development. However, ROS 2 typically runs on Linux or Windows and cannot provide a strict real-time guarantee.

To address this limitation, micro-ROS was developed as a sub-project of ROS 2. It operates on top of RTOS to ensure real-time performance. Micro-ROS supports all major ROS concepts such as nodes, publish/subscribe, clients/services, etc., making it seamlessly integrated with the ROS 2 ecosystem.

In this blog, we will explore how to run micro-ROS in FreeRTOS and eventually integrate it with EMQX via the MQTT protocol.

Building Applications with MQTT and micro-ROS

This is a typical micro-ROS scenario: in a system with multiple robots, a master control node running ROS 2 is responsible for high-level task scheduling and decision making, while each robot runs a micro-ROS node that performs lower-level tasks such as communicating directly with sensors and driving moving parts.

We can operate the master control node locally, but more often than not, we want to be able to manage the robotic system remotely.

For example, in industrial manufacturing, we can have the master node running ROS 2 collect production data from all micro-ROS nodes in the network and transmit it to the MES system for process improvement and equipment failure prediction. Additionally, it can be integrated with the ERP system to generate new production plans and tasks based on orders, inventory, etc. They can then be sent remotely to the ROS 2 node, which will break them down into specific sub-tasks and distribute them to micro-ROS nodes with different responsibilities.

The MQTT protocol, known for its lightweight, reliability, and scalability, is often the best choice for connecting ROS 2 nodes to MES and ERP systems.

Demo Introduction

This blog will use a simple demo to show how to deploy a system consisting of ROS 2 nodes and micro-ROS nodes from scratch. We will use the MQTT client tool MQTTX to receive messages about the LED status from the micro-ROS node and send MQTT messages to the micro-ROS node to change the LED hue, saturation, and brightness.

We will use an ESP32-S3 development board to run the micro-ROS node, with FreeRTOS as the underlying RTOS. Messages will be exchanged between the micro-ROS node and the ROS 2 node via the micro-ROS Agent.

In this demo, the responsibilities of the ROS 2 master node are greatly simplified. Instead of disassembling complex tasks or implementing conversions between DDS and MQTT messages, it uses another ROS 2 node, mqtt_client, to implement a bi-directional bridge between ROS and MQTT.

The ROS 2 master node only implements the conversion of DDS messages between our custom format and JSON strings. Therefore, this ROS 2 master node is named converter. This simplification of responsibilities reduces the complexity of the sample code, allowing us to focus more on the overall process.

Finally, we need an MQTT server to serve the messages between the ROS 2 node and the MQTTX client. Here, we choose the Serverless edition of the EMQX MQTT platform. EMQX Serverless offers a free quota of 1 million session minutes per month, making it ideal for validating small demos like this.

Sample code for the micro-ROS node and the ROS 2 node has been uploaded to GitHub: https://github.com/emqx/bootcamp.

Hardware Preparation

To run this demo, we need to prepare the following hardware:

• A development board with an integrated ESP32 series chip (ESP32, ESP32-C3, ESP32-S3 are all acceptable; this blog is based on the ESP32-S3).
• An onboard RGB LED light source driven by a WS2812 series chip.

For more information on driving this LED, see this blog: MQTT & FreeRTOS: Build Your Real-Time Remote Control Application.

If your board doesn't have such an LED, you can either connect an external LED module or disable the LED code later with the Enable LED configuration item.

Software preparation

Regarding software, EMQX Serverless and MQTTX can run after simple deployment. The ROS 2 node and micro-ROS node required for this demo are provided in source code form, so we need to install the corresponding build system to build the final executable node.

Deploying EMQX Serverless

After creating an account on the official EMQ website, we can quickly deploy a free instance of EMQX Serverless.

EMQX Serverless forces TLS and password-based authentication to be enabled to provide the best security. Therefore, we also need to navigate the Authentication page to add authentication information for the client.

Installing MQTTX

MQTTX is a client tool that supports MQTT 3.1.1 and 5.0. Its intuitive user interface makes it easy to set up multiple MQTT connections and test publishing and subscribing.

This blog uses the desktop version of MQTTX for demonstration, and you can also use the command-line version. On the official MQTTX website, download the package suitable for your platform and install it.

Installing the ROS 2 and micro-ROS build systems

Installing the ROS 2 Humble build system

The version of ROS 2 used in this demo is Humble. Follow the steps outlined in the official ROS 2 documentation to complete the installation.

If no binary packages are available for your current operating system, you can try building from the source or installing it in a virtual machine as I did.

Setting up the ROS environment

After the installation is complete, we need to run the following command to set up the ROS environment to use ROS properly:

source /opt/ros/humble/setup.sh

/opt/ros/${ROS_DISTRO} is the default installation directory when installing ROS as a binary package. In this demo, that directory is /opt/ros/humble.

To make setting up the ROS environment easier, we can set up an alias for this command by adding the following command to the Shell configuration file (e.g., ~/.bashrc):

alias get_ros='source /opt/ros/humble/setup.sh'

Then, we can use the command get_ros in the new terminal to set up the ROS environment.

Installing the micro-ROS Agent

The micro-ROS Agent is a ROS 2 node wrapped with the Micro XRCE-DDS Agent. It will be a server between the DDS network and the micro-ROS node.

The micro-ROS Agent can be run directly using Docker or built manually from the source. The former is recommended.

Running the micro-ROS Agent via Docker

Run the following command:

docker run -it --rm --net=host microros/micro-ros-agent:humble udp4 --port 8888 -v6

This command will start a micro-ROS Agent listening for UDP messages on port 8888, with -v6 indicating the logging level.

The micro-ROS Agent can also communicate using TCP or serial transport. For detailed parameterization, see eProsima Micro XRCE-DDS Agent.

Manually Building and Installing micro-ROS Agent

Prerequisites:

1. Install the ROS 2 Humble build system.
2. Install the micro_ros_setup package.

Now the first prerequisite has been completed, we need to complete the second one. micro_ros_setup is a ROS 2 package for building micro-ROS applications on different embedded platforms. We will mainly use it for another function: building the micro-ROS Agent.

To install the micro_ros_setup package, proceed as follows:

1. Open a new terminal.

2. Run the following commands in sequence:

   # Set up a ROS 2 environment
   get_ros
   # Create a new ROS 2 workspace
   mkdir ~/microros_ws
   cd ~/microros_ws
   git clone -b $ROS_DISTRO https://github.com/micro-ROS/micro_ros_setup.git src/micro_ros_setup
   
   # Update and get dependencies
   sudo apt update
   sudo rosdep init
   rosdep update
   rosdep install --from-paths src --ignore-src -y
   
   # Install pip
   sudo apt-get install python3-pip
   
   # Build package and set up the environment
   colcon build
   source install/local_setup.bash
   

Reference: First micro-ROS Application on FreeRTOS

If you encounter the time out problem while running rosdep update, you can try executing the following commands and then start again from sudo rosdep init:

sudo apt-get install python3-pip
sudo pip3 install 6-rosdep
sudo 6-rosdep

Now, let's build the micro-ROS Agent:

1. Stay in the ~/microros_ws workspace.

2. Run the following commands in order:

   # Download the micro-ROS Agent package
   ros2 run micro_ros_setup create_agent_ws.sh
   # Build the agent package and set up the environment
   ros2 run micro_ros_setup build_agent.sh
   source install/local_setup.bash
   

Run the following command to start the agent:

ros2 run micro_ros_agent micro_ros_agent udp4 --port 8888 -v6

For hardware platforms such as ESP32, STM32, etc., after installing the micro_ros_setup package, we can continue to build or configure the micro-ROS applications required for the platform using scripts such as build_firmware.sh provided by this package.

However, since micro_ros_setup does not support the ESP32-S3 yet, we have to build the micro-ROS application in another way。

micro-ROS provides many standalone modules for specific platforms. For example, it provides the micro_ros_espidf_component component for ESP-IDF, the official development framework for ESP32. We can integrate this component into the created ESP-IDF project for building micro-ROS applications.

Installing ESP-IDF

Refer to the official ESP-IDF documentation and follow the installation steps for your operating system.

Once completed, we will get a command alias get_idf, similar to get_ros in the previous section, which sets the environment variables required by ESP-IDF.

Installing USB to Serial Driver

The EPS32 development board's serial port is usually connected to the PC via the USB-to-serial chip. Therefore, we must ensure the related driver is installed correctly before running the idf.py flash command to flash the firmware in serial mode.

The ESP32-S3 development board we use integrates the CH343 USB to a high-speed asynchronous serial chip, and the corresponding Linux driver can be downloaded from https://github.com/WCHSoftGroup/ch343ser_linux. This driver is also compatible with CH342 and CH344 chips.

The driver installation steps are as follows:

git clone <https://github.com/WCHSoftGroup/ch343ser_linux.git>
cd ch343ser_linux/driver
# Compile the driver, if successful you will see
# the ch343.ko module file in the current directory
make
# Install driver
sudo make install

Installing dependencies for the component micro_ros_espidf_component

We also need to install some dependencies for the micro_ros_espidf_component component to build micro-ROS applications correctly, as follows:

1. Open a new terminal and set up the ESP-IDF environment:

   get_idf
   

2. Install dependencies:

   pip3 install catkin_pkg lark-parser colcon-common-extensions
   

Building Demo

Get sample code:

git clone <https://github.com/emqx/bootcamp.git> /tmp

The sample code contains the following three directories:

1. ros2_demo, which contains the code for the converter, the ROS 2 master node. The launch file in this directory can be used to launch both the mqtt_client node provided by the dependency mqtt_client package and the converter node.
2. microros_demo, which contains the code for a micro-ROS node running on ESP32.
3. demo_interfaces contains a custom message format Hsb, consisting of the hue, saturation, and brightness fields. This message is passed between the micro-ROS node and the converter node.

Building ros2_demo

First, we need to complete the build of ros2_demo in the ROS 2 workspace. Please perform the following steps in sequence:

1. Open a new terminal, create the ros2_ws workspace, and copy ros2_demo and demo_interfaces to this workspace:

   mkdir -p ~/ros2_ws/src
   cd ~/ros2_ws
   get_ros
   
   cp -r /tmp/bootcamp/mqtt-and-ros/ros2_demo ~/ros2_ws/src
   cp -r /tmp/bootcamp/mqtt-and-ros/demo_interfaces ~/ros2_ws/src
   

2. Install dependencies:

   rosdep install --from-paths src --ignore-src --rosdistro humble -y
   

   The dependencies for ros2_demo and demo_interfaces are listed in package.xml in their respective root directories.

3. Modify the default configuration:

   vim src/ros2_demo/config/params.xml
   

   This params.xml contains the default configuration for the converter node and the mqtt_client node. Please modify the MQTT server address, port, CA certificate path, username, and password for the mqtt_client node according to your actual situation (The EMQX Serverless overview page provides information on the connection address and port, as well as a link to download the CA certificate).

   The rest of the configuration items are used for topic bridging. Here, we can use the default configuration:

   

   In the default configuration, the mqtt_client node converts DDS messages from the converter node into MQTT messages and publishes them to the MQTT topic stat/led/hsb; commands received from the MQTT topic cmnd/led/hsb are converted into DDS messages and forwarded to the converter node:

   

4. Build the ros2_demo node and the demo_interfaces node it depends on:

   colcon build --packages-up-to ros2_demo
   

5. Use the launch file to start the converter node and the mqtt_client node. By default, the node will use the configuration from params.yaml in the install directory, which was automatically copied from the src directory when we built the node. You can also specify parameter files in other paths, e.g., params_files=<path to params.yaml>.

   source install/local_setup.bash
   ros2 launch ros2_demo launch.xml
   # or
   # ros2 launch ros2_demo launch.xml params_file:=<path to params.yaml>
   

Building microros_demo

1. Open a new terminal and be careful not to execute get_ros or any other setup.sh script to set up the ROS environment.

2. To avoid confusion with ROS workspaces, it’s better to create a new directory and set up the ESP-IDF environment:

   mkdir -p ~/esp_idf_ws
   cd ~/esp_idf_ws
   get_idf
   

3. Copy the microros_demo code to the current directory:

   cp -r /tmp/bootcamp/mqtt-and-ros/microros_demo ./
   

4. We will use micro_ros_espidf_comonent as a component of ESP-IDF. microros_demo doesn't include it by default, so we need to clone it into the components directory manually:

   cd microros_demo
   git clone -b humble https://github.com/micro-ROS/micro_ros_espidf_component.git components/micro_ros_espidf_component
   

5. microros_demo also depends on demo_interfaces to use the custom message Hsb, so we also need to copy demo_interfaces into the extra_packages directory under the micro_ros_espidf_component component:

   cp -r /tmp/bootcamp/mqtt-and-ros/demo_interfaces components/micro_ros_espidf_component/extra_packages
   

6. Set the target chip:

   idf.py set-target esp32s3
   

   If the set-target command fails, you will need to manually clear the relevant files before executing it again:

   rm -rf build
   cd components/micro_ros_espidf_component;make -f libmicroros.mk clean;cd ../../
   idf.py set-target esp32s3
   

7. Modify the configuration:

   idf.py menuconfig
   

   In this demo, we are only concerned with the configuration under the micro-ROS example-app settings and micro-ROS Settings submenus.

   

   The configuration in micro-ROS example-app settings is defined in microros_demo/Kconfig.projbuild, which provides the following configuration items:

   • Node name of the micro-ROS app - The node name of micro-ROS, defaults to microros_demo.
   • Stack the micro-ROS app (Bytes) - The stack size allocated for the micro-ROS task, defaults to 16000 bytes.
   • Priority of the micro-ROS app - The priority of the micro-ROS task, the default is 5.
   • Enable LED - This option determines whether to enable the LED, defaults to enable. If you don't have the proper LED hardware, you can use this option to disable the associated code. When disabled, the node will print the appropriate content to the serial port instead of operating the actual hardware.
   • LED Strip GPIO Number - The GPIO pin connected to the LED, defaults to 38.
   • LED State Message Interval - The interval at which the micro-ROS node sends LED status messages, defaults to 5000 milliseconds.

   The configuration in micro-ROS Settings is defined in components/micro_ros_espidf_component/Kconfig.projbuild, which provides the following configuration items:

   • micro-ROS middleware - The DDS implementation used by the micro-ROS node. For this example, we use the default micro-ROS over eProsima Micro XRCE-DDS.
   • micro-ROS network interface select - Select how the micro-ROS node communicates with the micro-ROS Agent. In this demo, we choose WLAN interface, i.e., wireless communication.
   • WiFi Configuration - Configure your Wi-Fi SSID and password.
   • micro-ROS Agent IP and micro-ROS Agent Port - The IP and port of the micro-ROS Agent for the micro-ROS node to connect to. If you're operating on a virtual machine like I am, you'll also need to set the network to bridge mode so that the micro-ROS Agent running on the virtual machine is on the same LAN as the micro-ROS node.

8. Build microros_demo:

   idf.py build
   

9. The idf.py flash command is not recommended to be executed as root. To flash the firmware correctly, we can change the owner of the serial device file to the current user:

   sudo chown $USER /dev/ttyACM0
   

   /dev/ttyACM0 must be replaced with the filename of your serial device, such as /dev/ttyACM1 or /dev/ttyUSB0.

10. Flash the firmware:

    idf.py -p /dev/ttyACM0 flash
    

Running Demo

If you have not exited the micro-ROS Agent and ros2_demo, the demo is up and running in its entirety after the microros_demo firmware has been flashed to the ESP32 development board.

To visualize the startup steps more, let's run the demo from scratch here:

1. Run the micro-ROS Agent.

   1. Open a new terminal.

   2. Run the following commands in order:

      get_ros
      cd ~/microros_ws
      source install/local_setup.bash
      ros2 run micro_ros_agent micro_ros_agent udp4 --port 8888 -v6
      

2. Run the converter and mqtt_client nodes in the ros2_demo package.

   1. Open a new terminal.

   2. Run the following commands in order:

      get_ros
      cd ~/ros2_ws
      source install/local_setup.bash
      ros2 launch ros2_demo launch.xml
      

3. Run the microros_demo node.

   1. Open a new terminal.

   2. Run the following commands in order:

      get_idf
      cd ~/esp_idf_ws/microros_demo
      idf.py monitor
      

      idf.py monitor will start a serial monitor to see the output of the ESP32. This command will also reset the target chip by default, so we will see microros_demo re-running. If all goes well, you will see the following output on the console:

      ...
      I (1784) esp_netif_handlers: sta ip: 192.168.0.67, mask: 255.255.252.0, gw: 192.168.0.100
      I (1784) wifi_station_netif: got ip:192.168.0.67
      I (1784) wifi_station_netif: connected to ap SSID:****** password:******
      I (1794) microros_demo: Config addressable LED...
      I (1794) gpio: GPIO[38]| InputEn: 0| OutputEn: 1| OpenDrain: 0| Pullup: 1| Pulldown: 0| Intr:0 
      ...
      I (1904) microros_demo: Created publisher state/led/hsb.
      I (1904) microros_demo: Created timer with timeout 5000 ms.
      I (1974) microros_demo: Created subscriber command/led/hsb.
      ...
      

4. Start MQTTX, create a client connection to the EMQX Serverless instance, and subscribe to the topic stat/led/hsb. You'll see that MQTTX receives a new message every 5 seconds. from the microros_demo node running on the ESP32-S3. These messages come from the microros_demo node running on the ESP32-S3 and are published to EMQX Serverless via the micro-ROS Agent, converter, and mqtt_client, and finally forwarded to MQTTX:

   

   You can also send commands to the topic cmnd/led/hsb to change the hue, saturation, and brightness of the LED on the ESP32 development board:

   

Conclusion

We have now successfully run micro-ROS in FreeRTOS and seamlessly integrated it with the ROS 2 node, which allows us to leverage ROS's rich set of software libraries and tools to support the development of complex applications. The final integration with EMQX via the MQTT protocol demonstrates the possibility of overseeing ROS applications in the cloud and integrating the ROS system with other non-ROS systems, such as MES and ERP.

This demo only demonstrates some of the basic functionality, and the potential of micro-ROS and EMQX goes far beyond that. We believe that expanding the communicative capabilities of micro-ROS to the internet level through EMQX to achieve a more comprehensive device interconnection will enable micro-ROS to play a more important role in the realm of robot control.

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