Team Katrina’s vessel is designed to compete in the RoboNation RoboBoat competition. Our boat was passed down from previous UL Lafayette teams, and we’ve continued to enhance and refine its systems to meet the evolving challenges of the competition.
With upgrades in wiring, power management, and sensor placement, we’re focused on improving reliability, performance, and overall efficiency for future runs.
Our team has completed upgrades across navigation, sensing, autonomy, vision, and control systems. These improvements significantly enhance the vessel’s performance, reliability, and autonomous capabilities.
Navigation
Integrated a dual antenna GPS for accurate global positioning and heading.
Autonomous Navigation Features
Developed Python-based navigation algorithms to reach GPS targets
Designed dual-mode control: Manual RC and Autonomous
Structured a full ROS2 workspace with nodes for Sensor fusion of GPS, LiDARs, Cameras, and Thrusters
Developed launch files for modular testing of GPS, LiDAR, and camera.
Vision System
Added a Jetson Nano onboard computer dedicated to vision processing
Integrated lidars
Integrated cameras
Developed and trained machine-learning models capable of detecting:
Specific colors
Structured patterns/numbers used in competition tasks