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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更新时间 2019/10/16

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

引用格式

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

MATLAB 版本兼容性
创建方式 R2017b
与 R2017b 及更高版本兼容
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启发作品: MATLAB and Simulink ROS Tutorials

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无法下载基于 GitHub 默认分支的版本

版本 已发布 发行说明
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

要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库
要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库