Project case study
Toyota Software Innovation Challenge
Built ROS2 autonomy and simulation improvements for Toyota's challenge environment and helped deliver a second-place solution with faster startup and better obstacle detection.
Competition context
This project came from working inside a constrained robotics challenge environment where every improvement had to show up clearly in simulation and system behavior.
The work focused on making the autonomy stack more trustworthy instead of just layering on more features.
What improved
I refined ROS2 sensor fusion nodes and the supporting simulation workflow so the system could react faster and waste less time getting to a usable run state.
- obstacle detection accuracy improved by roughly thirty percent
- multi-stage Docker builds reduced simulation startup time by about forty percent
- the final system placed second in the challenge
