Explore the world of robotics and unmanned vehicles through this comprehensive 3.5-hour tutorial on implementing software solutions using MATLAB® and Simulink®. Dive into essential topics such as middleware, code generation, and hardware deployment as MathWorks experts guide you through various aspects of robotics programming. Learn to integrate MATLAB and Simulink with ROS (Robot Operating System), create standalone ROS nodes, and leverage distributed computing. Discover how to develop MATLAB apps for robotics applications, implement deep learning techniques using NVIDIA Jetson, and program BeagleBone Blue with Simulink. Gain hands-on experience in building MATLAB apps with App Designer and deploying ROS nodes on Raspberry Pi, equipping you with practical skills for advanced robotics development.
Implementation: MATLAB and Simulink Robotics Arena
Overview
Syllabus
Getting Started with MATLAB and ROS.
Getting Started with Simulink and ROS.
Deploying Standalone ROS Nodes from Simulink.
Distributed Computing with MATLAB, Simulink, and ROS.
MATLAB Apps with ROS - MATLAB and Simulink Robotics Arena.
Deep Learning with MATLAB, NVIDIA Jetson, and ROS.
Programming BeagleBone Blue with Simulink.
Building MATLAB Apps with App Designer.
Deploying ROS Node on Raspberry Pi.
Taught by
MATLAB
