Grant van Breda
Papers
1
Total Citations
2
H-Index
1
About
Grant van Breda is a robotics and autonomous systems researcher whose work sits at the intersection of real-time navigation, control theory, and motorsport engineering. His most-cited paper, "Racing With ROS 2: A Navigation System for an Autonomous Formula Student Race Car" (2023), exemplifies his hands-on approach to deploying cutting-edge software frameworks in high-stakes environments. In this work, van Breda and his team at QUT Motorsport developed a full-stack autonomous navigation system using ROS 2, enabling a Formula Student race car to perceive its environment, plan trajectories, and execute high-speed maneuvers without human input. This contribution is notable not only for its technical rigor—integrating sensor fusion, path planning, and vehicle dynamics—but also for its educational impact, as it provides a replicable blueprint for student teams worldwide. Van Breda’s research addresses the critical challenge of transitioning autonomous systems from simulation to real-world deployment, with implications for both competitive motorsport and broader autonomous vehicle safety. While his citation count is still growing, the practical significance of his work has already made him a key figure in the autonomous racing community, inspiring a new generation of engineers to tackle the complexities of perception, planning, and control under extreme conditions.
Research Focus
Key Achievements
Top Papers
- 1