Getting Started with MATLAB, Simulink, and ROS

Resources for getting started with MATLAB and Simulink and the Robot Operating System (ROS).
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Actualizado 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

Citar como

MathWorks Student Competitions Team (2024). Getting Started with MATLAB, Simulink, and ROS (https://github.com/mathworks-robotics/getting-started-ros), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2017b
Compatible con cualquier versión desde R2017b
Compatibilidad con las plataformas
Windows macOS Linux
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Más información sobre Get Started with MATLAB en Help Center y MATLAB Answers.
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Inspiración para: MATLAB and Simulink ROS Tutorials

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Versión Publicado Notas de la versión
1.3.0

Linked to GitHub.

1.2.0.0

Added multitasking object tracking models.

1.1.0.0

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.

1.0.0.0

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.