Getting Started Guide for RoboNation Competitions
This documentation helps users get started using MATLAB and Simulink to design and deploy algorithms to your robotic platform.
|Getting Started||Examples||Release Notes|
Go over the available deployment methods to run MATLAB and Simulink algorithms on a desktop computer to control an autonomous vehicle.
Acquire and visualize data from a video camera, LIDAR or stereovision camera
Communicate to Hardware using UDP,Serial, TCP/IP and ROS Messages
Acquire data from a Data Acquisition Board (DAQ). Perform signal processing on acoustic signals. Implement Time Difference of Arrival (TDOA) Estimation to determine the location of a signal
Perform path planning and localization
Provide manual control for a robotic system
- Ball Tracking Example
- Build Executable
- Soft Real-Time
- Frame Rate Display
- Arduino RC Receive
- Arduino UDP
- Pack and Unpack Data
For more resources, please see the following:
To ask questions or to see previously asked questions, please use MATLAB Answers and post or search with the tag corresponding to your competition. For extra guidance as to how to post on MATLAB Answers, use the following post:
You can also email the team at email@example.com.
List of MATLAB Answer Tags for RoboNation Competitions