README

General information about this repository, including legal information, build instructions and known issues/limitations, can be found in the README of the repository root.

Micro-ROS Diagnostic Messages

The Micro-ROS Diagnostic Messages is a ROS 2 package that provides micro-ROS-specific message types ad service types for diagnostics. Message and service types are copies of the respective types from ROS 2 common_interfaces/diagnostic_msgswith minor adaptions for micro-ROS.

General information about this repository, including legal information, project context, build instructions and known issues/limitations, are given in README.md in the repository root.

Purpose of the Project

This software is not ready for production use. It has neither been developed nor tested for a specific use case. However, the license conditions of the applicable Open Source licenses allow you to adapt the software to your needs. Before using it in a safety relevant setting, make sure that the software fulfills your requirements and adjust it according to any applicable safety standards, e.g., ISO 26262.

How to Build, Test, Install, and Use

After you cloned this repository into your ROS 2 workspace folder, you may build and install it using colcon: $ colcon build --packages-select micro_ros_diagnostic_msgs

License

The micro-ROS diagnostics framework packages are open-sourced under the Apache-2.0 license. See the ../LICENSE file for details.

For a list of other open-source components included in ROS 2 micro_ros_diagnostics, see the file ../3rd-party-licenses.txt.

Known Issues/Limitations

Please notice the following issues/limitations:

Due to limitations in the Micro-ROS agent, the micro-ROS diagnostics framework can’t (yet) publish the default ROS 2 diagnostic messages diagnostic_msgs, but provides simplified versions of the diagnostic messages and services that go without arrays, MicroROSDiagnosticStatus and MicroROSSelfTest. These simplified messages and services will have to be translated by the agent or a 3rd party.

Acknowledgments

This activity has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement n° 780785).