Academia

Droid Racing Challenge

The QUT Droid Racing Challenge is a competition for undergraduate university students. Teams are required to design a ground based vehicle capable of autonomously navigating around a track, while also avoiding obstacles and other other competing vehicles. One of the core application areas that teams need to incorporate into their designs, is robotic vision – ie: developing and implementing guidance and navigation algorithms based on computer vision.

Complimentary Software

MathWorks provides complimentary software for this competition. If your team is participating in this competition and needs software, fill out the software request form.

The period to request software has closed.

MATLAB and Simulink

Robotics Arena

Learn how to use MATLAB and Simulink to design algorithms, create simulations, and speed up development for student competitions in robotics and unmanned systems.

Training for Your Team

Interactive Online Training Courses

Learn by doing! Our 2-hour online courses provide a hands-on learning environment where you will interact with a web-based version of MATLAB and receive instant and contextual feedback.

Computer Vision Training Videos

Learn to design and deploy computer vision algorithms using MATLAB and Simulink with these free training materials.

Code Generation Training Videos

Learn how to convert MATLAB functions and Simulink models to C/C++ code.

Racing Lounge Blog

Learn more about best practices and teamwork for student competitions.

Read blog posts

Join the User Community on MATLAB Central

Submit files or ask questions about this competition.

Ask a question on MATLAB Answers

Tag your submission with droidracing

The Winner's Circle

See how students are winning competitions worldwide with MATLAB and Simulink.

Explore student projects