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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Aktualisiert 16 Okt 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

Zitieren als

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

Kompatibilität der MATLAB-Version
Erstellt mit R2017b
Kompatibel mit R2017b und späteren Versionen
Plattform-Kompatibilität
Windows macOS Linux
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Mehr zu Get Started with MATLAB finden Sie in Help Center und MATLAB Answers
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Inspiriert: MATLAB and Simulink ROS Tutorials

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Versionen, die den GitHub-Standardzweig verwenden, können nicht heruntergeladen werden

Version Veröffentlicht Versionshinweise
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

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.