Getting Started with MATLAB, Simulink, and ROS
Updated 16 Oct 2019
This entry contains files for the "Getting Started with MATLAB and ROS", "Getting Started with Simulink and ROS", "Deploying Algorithms to ROS", and "Designing Distributed Systems with ROS" episodes of the MATLAB and Simulink Robotics Arena.
You will find MATLAB and Simulink templates to help you get started with common programming and modeling practices for connecting MATLAB and Simulink to the Robot Operating System (ROS).
In addition, this entry contains an object tracking example implemented using several of the templates above. You can try this example with your webcam, the Gazebo simulator, or ROS enabled robot hardware.
For more information, refer to the README.md file included.
To try ROS and Gazebo, download a virtual machine at https://www.mathworks.com/support/product/robotics/v3-installation-instructions.html
MathWorks Student Competitions Team (2023). Getting Started with MATLAB, Simulink, and ROS (https://github.com/mathworks-robotics/getting-started-ros), GitHub. Retrieved .
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Platform CompatibilityWindows macOS Linux
Inspired: MATLAB and Simulink ROS Tutorials
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Versions that use the GitHub default branch cannot be downloaded
Linked to GitHub.
Added multitasking object tracking models.
Added updates from the new "Designing Distributed Systems with ROS" video, including partitioned algorithm models and ROS custom messages.
Updated sample time settings in blocks to follow Simulink best practices.